A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway's insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history .

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.

• Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
• Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
• Work with domain experts across teams and perils to enhance our use of available data.
• Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

• Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
• 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
• Advanced knowledge of probability theory, statistics, and machine learning methods is required
• Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
• Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
• Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
• Strong written and verbal communication skills
• Strong programming skills in Python (preferred), R, and SQL
• Experience and understanding of relational and non-relational databases preferred
• Comfort working within git-based version-control environments
• Experience with Databricks or other cloud-based data and analytics platforms preferred
• Highly motivated, detail oriented, and team player

• A competitive package and exciting growth opportunities for career-oriented teammates.
• A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
• A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
• Benefits that support your life and well-being, which include:
  • Comprehensive Health, Dental and Vision benefits
  • Disability Insurance (both short-term and long-term)
  • Life Insurance (for you and your family)
  • Accidental Death & Dismemberment Insurance (for you and your family)
  • Flexible Spending Accounts
  • Health Reimbursement Account
  • Employee Assistance Program
  • Retirement Savings 401(k) Plan with Company Match
  • Generous holiday and Paid Time Off
  • Tuition Reimbursement
  • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

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Overview

The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

Available teams

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant, Ads & Sales
• New Verticals
• International Data Science

About The Role

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

Responsibilities

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
• Work with and mentor junior analysts on how to use more advanced methods and solve challenges
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Work backwards from understanding and sizing problems to ideating solutions
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
• Collaborate with engineering to implement, document, validate, and monitor our logging

Qualifications

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 2+ years of experience in data analytics, consulting, or related role
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

Paid Time Off Details

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay ranges for this position within the United States, including Illinois and Colorado.

• I4: $124,100—$182,500 USD
• I5: $152,000—$223,500 USD
• I6: $184,300—$271,000 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Software Development

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A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history.

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.

The successful candidate will be responsible for identifying and applying cutting‑edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man‑made risks such as cyber, casualty, among others. In addition, you will conduct in‑depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account‑specific risk analyses, and develop internal tools to facilitate account underwriting decision‑making and other related activities.

• Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
• Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
• Work with domain experts across teams and perils to enhance our use of available data.
• Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

• Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field.
• 3–6 years of industry experience is preferred and required for the Senior Data Scientist level role.
• Advanced knowledge of probability theory, statistics, and machine learning methods is required.
• Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred.
• Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data.
• Familiarity with large language models (LLMs), retrieval‑augmented generation (RAG), and their application in data‑driven workflows is a plus.
• Strong written and verbal communication skills.
• Strong programming skills in Python (preferred), R, and SQL.
• Experience and understanding of relational and non‑relational databases preferred.
• Comfort working within git‑based version‑control environments.
• Experience with Databricks or other cloud‑based data and analytics platforms preferred.
• Highly motivated, detail‑oriented, and team player.

• A competitive package and exciting growth opportunities for career‑oriented teammates.
• A dynamic, action‑oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
• A purposely non‑bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
• Benefits that support your life and well‑being, which include:
  • Comprehensive Health, Dental, and Vision benefits
  • Disability Insurance (both short‑term and long‑term)
  • Life Insurance (for you and your family)
  • Accidental Death & Dismemberment Insurance (for you and your family)
  • Flexible Spending Accounts
  • Health Reimbursement Account
  • Employee Assistance Program
  • Retirement Savings 401(k) Plan with Company Match
  • Generous holiday and Paid Time Off
  • Tuition Reimbursement
  • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all‑inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

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C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. Learn more at: C3 AI

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale.

• Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.
• Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
• Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI’s products.

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
• Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).
• Strong mathematical background (linear algebra, calculus, probability, and statistics).
• Proficiency in Python and objected-oriented programming, e.g. JavaScript
• Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.
• Ability to drive a project and work both independently and in a cross-functional team.
• Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
• Excellent verbal and written communication.

• Experience with scalable ML (MapReduce, Spark).
• Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
• Experience with reinforcement learning.
• A portfolio of projects (GitHub, papers, etc.).

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.

$123,000—$185,000 USD

C3 AI is proud to be an Equal Opportunity and Affiantive Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

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Cupertino, California, United States Software and Services

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple’s ecosystem with the ultimate goal of delivering high‑quality annotated data in support of unreleased products and groundbreaking AI technology. Within the Data Operations organization, the Capacity Planning & Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling & experimentation, and ad hoc analyses. We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning & optimization with quantitative rigor—all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods.

The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross‑functional relationships to drive data‑informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.

• As a Data Operations Capacity Planning & Analytics Data Scientist, you will:
• Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development.
• Evaluate which tasks and data types benefit most from automation and work with customers to optimize against.
• Translate behavioral insights and empirical trends into optimized project structures, ensuring our annotation workflows are designed for both efficiency and quality before projects launch.
• Partner with cross‑functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure.
• Contribute to capacity forecasting and optimization by converting quantitative decision‑making into forecast drivers and scenarios.
• Identify key factors that lead to improving productivity and quality.
• Contribute to development of a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains

• Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
• 4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
• Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization
• Mastery in SQL‑based languages, and proficiency in at least one large‑scale data languages
• Strong hands‑on experience with interpretable machine learning models and sophisticated analytic solutions using scripting tools such as Python or R

• Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
• Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations
• Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization
• Passion for AIML and Operations, with a consistent track record of operational results.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,500 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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HKT’s Data Monetisation Team is seeking a highly capable Data Scientist / Senior Data Scientist to drive end-to-end AI and analytics initiatives—from business problem framing and insight generation to building and deploying scalable machine learning and AI solutions.

This role is suited for candidates with deep expertise in at least one of the following areas: Business Strategy & Analytics, LLM/GenAI, Reinforcement Learning, or MLOps. You are not expected to cover all domains but should bring strong depth in one area and collaborate effectively across others.

You will contribute to the transformation of complex data into robust, interpretable models and actionable solutions that enhance customer experience, enable personalization, and support business growth.

Responsibilities

• Lead or contribute to data science initiatives aligned with your area of expertise (e.g., business analytics, LLM/GenAI, RL, or MLOps).
• Collaborate with stakeholders to understand business problems and translate them into analytical approaches, models, and measurable KPIs.
• Perform deep-dive data analysis to uncover trends, patterns, customer behaviors, and business opportunities across digital channels and product journeys.
• Translate analytical findings into clear, actionable insights and strategic recommendations.
• Design, build, and optimize machine learning and AI solutions based on your specialization.

Specialized responsibilities (depending on expertise):

• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, including embedding, retrieval, re-ranking, and prompt engineering.
• Implement agentic AI and reinforcement learning models for personalization and conversion optimization.
• Build and maintain scalable ML pipelines, including automation of training, testing, and deployment (MLOps).
• Apply guardrails, evaluation frameworks, and A/B testing to ensure model quality and performance.
• Support model evaluation, experimentation (e.g., A/B testing), and ongoing performance monitoring.
• Collaborate cross-functionally to deliver end-to-end data products and productionized solutions.
• Contribute to deployment, scalability, and reliability of data science systems in production environments.

Requirements

• Bachelor’s or advanced degree (Master’s/PhD preferred) in Machine Learning, Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
• 3–5+ years of experience in data science, machine learning, or advanced analytics (candidates with more experience may be considered for Senior level).
• Demonstrated expertise in at least one of the following domains:
• Business Strategy & Analytics (e.g., KPI design, stakeholder engagement, insight generation)
• Reinforcement Learning / Personalization (e.g., agent-based systems, optimization models)
• Strong proficiency in Python and SQL.
• Solid understanding of statistics, experimentation, and model evaluation.
• Experience working with cloud platforms (AWS, Azure, GCP) and large-scale data systems is a plus.
• Experience in Telecom, Retail, FMCG, or Property sectors is a plus; familiarity with Martech and personalization is advantageous.
• Strong communication skills with the ability to translate technical concepts into business impact.
• Proactive, detail-oriented, and able to manage multiple initiatives in a fast-paced environment.
• Strong sense of ownership and a collaborative, team-oriented mindset.

About the Team

The Data Monetisation Team at HKT manages customer data and transforms it into actionable insights that drive business growth. We develop end-to-end AI solutions and embed them seamlessly into business processes.

We are a team of 40+ data scientists and engineers committed to building a data-driven culture through a single source of truth and democratized data access. We value ownership, open communication, and continuous learning while solving real-world business challenges with cutting-edge AI technologies.

All personal data provided by candidates will be used for recruitment purposes only by HKT Services Limited in accordance with HKT's Privacy Statement, which is available on our website. Unless otherwise instructed in writing, candidates may be considered for other suitable positions within the Group (being, HKT Limited, PCCW Limited and their respective subsidiaries, affiliates and associated companies). Personal data of unsuccessful candidates will normally be destroyed 24 months after rejection of the candidate's application. If you have any questions regarding your personal data held by HKT Services Limited HKT’s Privacy Statement, please feel free to contact our Privacy Compliance Officer by writing to privacy@pccw.com or GPO Box 9896, Hong Kong.

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The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant, Ads & Sales
• New Verticals
• International Data Science

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision‑making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we’re looking for someone like you.

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business.
• Build full‑cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools.
• Work with and mentor junior analysts on how to use more advanced methods and solve challenges.
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings.
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long‑term trends.
• Identify and measure levers to help move essential metrics and make recommendations.
• Work backwards from understanding and sizing problems to ideating solutions.
• Report against our goals by identifying essential metrics and building executive‑facing dashboards to track progress.
• Collaborate with engineering to implement, document, validate, and monitor our logging.

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
• 2+ years of experience in data analytics, consulting, or a related role.
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
• Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with packages such as Matlab, R, SAS or Python.
• Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau).
• The insight to take ambiguous problems and solve them in a structured, hypothesis‑driven, data‑supported way.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only.

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for inbound from August 21 2023 through December 21 2023 and resumed use on June 29 2024.

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job‑related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market‑dependent and may be modified in the future.

• The national base pay ranges for this position within the United States, including Illinois and Colorado.
• $124,100–$182,500 USD
• $152,000–$223,500 USD
• $184,300–$271,000 USD

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well‑being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g., Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family‑forming assistance, and a mental health program, among others.

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door‑to‑door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We’re committed to supporting employees’ happiness, healthiness, and overall well‑being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce—people who identify as women, non‑binary or gender non‑conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently‑abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non‑discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for inbound from August 21 2023 through December 21 2023, resumed use on June 29 2024, and ceased using Covey Scout for inbound on April 30 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.

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C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain‑specific generative AI offerings for the enterprise. Learn more at: C3 AI

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI‑powered enterprise applications on the C3 AI Platform. You will work directly with data scientists, AI engineers, and subject matter experts to design and deploy AI capabilities that give our customers the information they need to make better decisions and accelerate their digital transformation. You will identify the right AI approaches for each problem and implement them on the C3 AI Platform so they run reliably at enterprise scale.

Qualified candidates will have deep knowledge of modern AI and ML techniques—including large language models, agentic systems, and classical statistical methods—along with a clear understanding of their limitations and how to adapt them to large‑scale production environments. Some travel is expected.

Note: This is a client‑facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

• Lead the research, design, implementation, and deployment of AI models, agentic solutions, and optimization algorithms for enterprise applications on the C3 AI Platform.
• Partner with C3 AI customers to build and scale their own AI applications on the Platform.
• Contribute to the design and implementation of new AI capabilities within the C3 AI Platform.
• Analyze model performance across enterprise deployments, diagnose issues such as poor recall or false positive rates, and recommend targeted improvements.
• Collaborate with data engineers and subject matter experts from C3 AI and customer teams to source, validate, and correctly leverage new data assets.

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or a related field.
• Hands‑on AI experience spanning generative AI, agentic systems, supervised and unsupervised learning, and classical regression and classification.
• Strong mathematical foundation in linear algebra, calculus, probability, and statistics.
• Experience building and deploying models at scale in distributed or cloud‑native environments.
• Ability to drive projects independently and collaborate effectively across technical and non‑technical teams.
• Sharp, motivated, and focused on making a real impact.
• Excellent verbal and written communication skills.

• Proficiency in Python; experience with JavaScript, Java, or Scala is a plus.
• Familiarity with LLM frameworks (e.g., LangChain, LlamaIndex), vector databases, or RAG architectures.
• A portfolio of AI projects (GitHub, publications, or open‑source contributions) is a plus.

C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.

California Base Pay Range: $136,000 — $183,000 USD

C3 AI is proud to be an Equal Opportunity and Affimative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

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The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company. They work to uncover insights and turn them into relevant recommendations that drive decisions for the entire organization, playing a key role in all operational areas at DoorDash.

As a Data Scientist at DoorDash, you will mentor other scientists and dive into large datasets to guide decision‑making. You will address challenges in customer acquisition, fraud and support, marketing, supply and demand balancing, new city launches, marketplace efficiency, and more. Your work will directly influence revenue, growth, operations, and other critical business areas.

• Use quantitative analysis and data presentation to understand what drives our business
• Build full‑cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
• Work with and mentor junior analysts on advanced methods and problem solving
• Produce recommendations and use statistical techniques and hypothesis testing to validate findings
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long‑term trends
• Identify and measure levers to move essential metrics and deliver actionable recommendations
• Work backwards from problem understanding and sizing to ideate solutions
• Report against goals by tracking essential metrics with executive‑facing dashboards
• Collaborate with engineering to implement, document, validate, and monitor logging

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 2+ years of experience in data analytics, consulting, or a related role
• Experience with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
• Expertise in SQL queries, ETL, A/B testing, and statistical analysis with packages such as Matlab, R, SAS, or Python
• Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau)
• The insight to take ambiguous problems and solve them in a structured, hypothesis‑driven, data‑supported way

Base salary ranges depend on location and role level: I4: $124,100—$182,500 USD I5: $152,000—$223,500 USD I6: $184,300—$271,000 USD Additional equity grants may be available.

All regular employees receive a comprehensive benefits package that includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and sick leave, medical, dental, and vision coverage, 11 paid holidays, disability and basic life insurance, family‑forming assistance, and a mental health program.

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. We also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping). Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce and encourage applicants from all backgrounds.

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The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision‑making across the company. Data Scientists uncover insights and turn them into recommendations, driving decisions throughout the organization. Analytics is integral to all operational areas.

Available levels:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant, Ads & Sales
• New Verticals
• International Data Science

As a Data Scientist at DoorDash, you will mentor other scientists and dive into large datasets to guide decision‑making. Challenges include customer acquisition, fraud, marketing, supply and demand, new city launches, marketplace efficiency, and more.

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full‑cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
• Work with and mentor junior analysts on how to use more advanced methods and solve challenges
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long‑term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Work backwards from understanding and sizing problems to ideating solutions
• Report against our goals by identifying essential metrics and building executive‑facing dashboards to track progress
• Collaborate with engineering to implement, document, validate, and monitor our logging

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 2+ years of experience in data analytics, consulting, or related role
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
• The insight to take ambiguous problems and solve them in a structured, hypothesis‑driven, data‑supported way

The successful candidate’s starting pay will fall within the following ranges, with additional opportunities for equity grants.

• I4: $124,100–$182,500 USD
• I5: $152,000–$223,500 USD
• I6: $184,300–$271,000 USD

DoorDash offers a comprehensive benefits package including 401(k) with matching, paid parental leave, wellness benefits, commuter benefits, paid time off, sick leave, medical, dental, vision, 11 paid holidays, disability and basic life insurance, family‑forming assistance, mental health program, and more.

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrues approximately 1 hour for every 25.97 hours worked, and paid sick time accrues 1 hour for every 30 hours worked.

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. DoorDash will consider all qualified applicants, including those with arrest or conviction records, in a manner consistent with applicable regulations. If you need any accommodations, please inform your recruiting contact upon initial connection.

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