1379 Data Scientist jobs in San Francisco
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
**Position Overview**
AI and analytics give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. In order to do so, our clients need new business models built from analyzing dynamically changing customer and business operations data to drive ideal business decisions.
A Data Scientist in Cognizant's Data+ practice brings relevant context to complex data for business and IT for intelligent systems and human decisioning. They work within the domains of data management, business intelligence, descriptive analytics and advanced modeling. They will use a variety of machine learning and AI approaches to deliver better, faster, and smarter insights and intelligence to some of the world's most successful businesses - our clients.
**Responsibilities**
+ Build an in-depth understanding of the opportunity, challenge or issue in the domain and its associated data
+ Interact with and integrate large, diverse and impactful datasets across business functions
+ Research, design, implement, and evaluate sophisticated analytics, including machine learning models
+ Take initiative in evaluating and adapting new innovative approaches and methods from data science research
+ Investigate data visualization and summarization techniques for conveying key findings
+ Responsible for telling the "data and analytics story" to business users in a clear and concise manner and bring value from the data storytelling
+ Communicate findings, obstacles and opportunities to clients to help drive the delivery to market
+ Basic exposure working with Generative AI.
**Basic Qualifications**
+ Bachelor's or Master's degree in IT-related field and 0-3 years of IT experience
+ Strong problem solving and analytical thinking skills with business interpersonal skills (both written and oral)
+ Hands-on experience in data cleaning and data quality assessment, hypotheses testing, data exploration and mining, visualization techniques, algorithm selection and building predictive models using traditional machine learning algorithms
+ Experience with traditional modeling algorithms (e.g. regression, log-regression, clustering, predictive modeling, etc.)
+ Hands on experience with Python and R/R Studio
+ Exposure to working with SQL, Relational Database Management Systems (e.g. SQL Server, Oracle)
**Distinguishing Qualifications**
+ Familiarity with neural networks and other deep learning approaches
+ Familiarity with developing and deploying models on the Hadoop environment
+ Some experience with AWS Sagemaker, Google TensorFlow or MS Azure ML
+ Experience with collaborative development workflows (e.g., Microsoft VSTS)
+ Knowledgable in application development using Hadoop components (HDFS, Spark, Hive, etc.)
+ Solid understanding of Tableau or other BI visualization tools, Google Analytics, Adobe Analytics, SAS
+ Open-Source Tools in any of the above with experience in D3/R/Shiny/Python/GitHub
+ Awareness of Narrative Science/ YSEOP/Automated Insights and concepts of NLG/NLP
**Location(s)**
Associates be deployed to specific client sites and those locations will be discussed through the application process. While Cognizant will make reasonable efforts to accommodate your location preference, please note that final assignments will be based on business needs and regional relocation may be required.
**Start Date(s)**
Start date is July 2025. While we will attempt to honor candidate summer start date preferences, business need and position availability will determine final start date assignment. Exact summer start dates will be communicated with enough time for you to plan effectively.
**Why Choose Us?**
Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber professionals and employ some of the most sophisticated and patented capabilities. Our associate's diverse set of backgrounds offer varied perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients.
If you're comfortable with ambiguity and excel through autonomy, we'd love to hear from you!
**Salary and Other Compensation:**
The annual salary for this role is $73,000.00 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
**Benefits:**
Cognizant offers the following benefits for this position:
+ Medical/Dental/Vision/Life Insurance
+ Paid holidays plus Paid Time Off
+ 401(k) plan and contributions
+ Long-term/Short-term Disability
+ Paid Parental Leave
+ Employee Stock Purchase Plan
**Disclaimer**
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
**Work Authorization**
Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program).
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
**Working at Abbott**
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:
+ Career development with an international company where you can grow the career you dream of.
+ Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
+ An excellent retirement savings plan with high employer contribution
+ Tuition reimbursement, the Freedom 2 Save ( student debt program and FreeU ( education benefit - an affordable and convenient path to getting a bachelor's degree.
+ A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
+ A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
**The Opportunity**
Senior Data Scientist works as integral part of a collaborative data and analytics team and responsible for analyzing real-world data to generate insights and develop machine learning models that drive the development and optimization of devices in Abbott Diabetes Care. The role requires drawing insights, and presenting results in a cohesive, intuitive, and simple manner
to the functional stakeholders utilizing technologies to collect, clean, analyze, predict, and effectively communicate insights. Key functional stakeholders include research & development, clinical, medical, regulatory and market access teams.
**What you'll work on**
+ Analyze large real-world datasets including device data, electronic health records (EHR), claims data, labs, and patient registries.
+ Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client.
+ Utilize technologies to collect, clean, analyze, predict, and effectively communicate information.
+ Prepare both structured and unstructured data for analysis.
+ Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client.
+ Conduct advanced statistical analysis to determine trends and significant data relationships.
+ Develop machine learning models to apply test data algorithms to future data.
+ Validate models/analytical techniques, and develop algorithms to execute analytical functions.
+ Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
+ Proactively identifies opportunities for significant operational, process or system level product improvements.
+ Communicate model logic and restrictions.
+ Work closely with the business to understand the domain and iteratively refine analyses.
+ Transform analytical results into actionable recommendations for business partners using deep industry knowledge.
+ Coach and mentor junior data scientists and provide technical/analytical guidance when needed.
+ Provides input into developing departmental and site processes and procedures.
+ Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.
+ Stay current with industry trends, regulatory requirements, and best practices in RWE and data science.
**Required Qualifications**
+ Minimum 4 years work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree
+ Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
+ Experience in applying data analysis techniques to a large set of data using big data systems such as Hadoop, Spark, MongoDB, or similar software
+ Advanced analytics knowledge and application in the field of Statistics
+ Mathematical programming
+ Business acumen and experience with operational or strategic systems
**Preferred Qualifications**
+ Prior experience in real world evidence, health economics, or outcomes research, in the medical device/pharma/CRO industry is preferred.
+ Proficiency in statistical software (e.g. R, Python) and familiarity with Databricks is preferred.
+ Experience with machine learning and artificial intelligence applications in healthcare is preferred.
+ Familiarity with regulatory guidelines and requirements for medical devices is preferred.
+ Publications in peer-reviewed journals or presentations at scientific conferences is preferred.
**What We Offer**
At Abbott, you can have a good job that can grow into a great career. We offer:
+ **Training and career development** , with onboarding programs for new employees and tuition assistance
+ **Financial security** through competitive compensation, incentives and retirement plans
+ **Health care and well-being programs** including medical, dental, vision, wellness and occupational health programs
+ **Paid time off**
+ **401(k)** retirement savings with a generous company match
+ **The stability of a company** with a record of strong financial performance and history of being actively involved in local communities
**Learn more about our benefits that add real value to your life to help you live fully:?** ( your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at , on Facebook at and on Twitter @AbbottNews and @AbbottGlobal.
The base pay for this position is $86,700.00 - $173,300.00. In specific locations, the pay range may vary from the range posted.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
**Working at Abbott**
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:
+ Career development with an international company where you can grow the career you dream of.
+ Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
+ An excellent retirement savings plan with high employer contribution
+ Tuition reimbursement, the Freedom 2 Save ( student debt program and FreeU ( education benefit - an affordable and convenient path to getting a bachelor's degree.
+ A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
+ A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
**The Opportunity**
As a senior Data Scientist, you will be challenged to bridge data analysis and innovation to help people with diabetes (PWDs) and their health care providers to better manage their diabetic conditions and progression. You will be given the opportunity to apply your knowledge in statistical methods, machine learning, and signal processing to analyze patient health data (such as Continuous Glucose Monitoring data) and develop solutions to provide therapy and lifestyle guidance. The ideal candidate will be able to analyze data quickly and effectively from multiple sources and translate their findings into clear, actionable insights. Candidates should have strong skills in Python, MATLAB, or similar high level programming language. Previous work in within the medical device space is also highly preferred.
**What you'll work on**
+ Lead analysis of data from various sources (glucose monitors, connected medication delivery devices, patient entered data, electronic medical records) to uncover patterns, anomalies, and gaps in the existing solutions, and formulate hypotheses about potential unmet needs
+ Present findings to stakeholders
+ Collaborate with domain experts (e.g., clinicians) to understand current challenges
+ Lead development of proof-of-concept solutions based on insights gathered from data and experts
+ Conduct literature reviews and competitive analyses to identify what has already been addressed and what hasn't.
+ Understand the product vision and propose research directions based on the vision
**Required Qualifications**
+ BS in engineering or physical science or related field or equivalent. MS degree ideal.
+ 6 yrs advanced data analysis of clinical or real-world evidence data in either a medical device or pharmaceutical setting.
+ Experience credit for advanced degrees beyond BS (2 years for Masters; 4 years for Doctorate).
+ Experience in one or more of the following areas: statistical analysis, machine learning algorithms, signal processing, physiology modeling and simulation.
+ Experience with Python, MATLAB, or similar programming language.
**Preferred Qualifications**
+ Advanced degree (Master's or Doctorate) in an engineering domain
+ Experience with SQL, Databricks, AWS/Azure, or similar big data processing tools
+ Experience utilizing machine learning techniques for problem solving.
+ Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics is not required, but highly beneficial.
+ Experience in medical device industry.
**What We Offer**
At Abbott, you can have a good job that can grow into a great career. We offer:
+ **Training and career development** , with onboarding programs for new employees and tuition assistance
+ **Financial security** through competitive compensation, incentives and retirement plans
+ **Health care and well-being programs** including medical, dental, vision, wellness and occupational health programs
+ **Paid time off**
+ **401(k)** retirement savings with a generous company match
+ **The stability of a company** with a record of strong financial performance and history of being actively involved in local communities
**Learn more about our benefits that add real value to your life to help you live fully:?** ( your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at , on Facebook at and on Twitter @AbbottNews and @AbbottGlobal.
The base pay for this position is $112,000.00 - $224,000.00. In specific locations, the pay range may vary from the range posted.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
**Working at Abbott**
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:
+ Career development with an international company where you can grow the career you dream of.
+ Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
+ An excellent retirement savings plan with high employer contribution
+ Tuition reimbursement, the Freedom 2 Save ( student debt program and FreeU ( education benefit - an affordable and convenient path to getting a bachelor's degree.
+ A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
+ A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
**The Opportunity**
As a senior Data Scientist, you will be challenged to bridge data analysis and innovation to help people with diabetes (PWDs) and their health care providers to better manage their diabetic conditions and progression. You will be given the opportunity to apply your knowledge in statistical methods, machine learning, and signal processing to analyze patient health data (such as Continuous Glucose Monitoring data) and develop solutions to provide therapy and lifestyle guidance. The ideal candidate will be able to analyze data quickly and effectively from multiple sources and translate their findings into clear, actionable insights. Candidates should have strong skills in Python, MATLAB, or similar high level programming language. Previous work in within the medical device space is also highly preferred.
**What you'll work on**
+ Lead analysis of data from various sources (glucose monitors, connected medication delivery devices, patient entered data, electronic medical records) to uncover patterns, anomalies, and gaps in the existing solutions, and formulate hypotheses about potential unmet needs
+ Present findings to stakeholders
+ Collaborate with domain experts (e.g., clinicians) to understand current challenges
+ Lead development of proof-of-concept solutions based on insights gathered from data and experts
+ Conduct literature reviews and competitive analyses to identify what has already been addressed and what hasn't.
+ Understand the product vision and propose research directions based on the vision
**Required Qualifications**
+ BS in engineering or physical science or related field or equivalent. MS degree ideal.
+ 6 yrs advanced data analysis of clinical or real-world evidence data in either a medical device or pharmaceutical setting.
+ Experience credit for advanced degrees beyond BS (2 years for Masters; 4 years for Doctorate).
+ Experience in one or more of the following areas: statistical analysis, machine learning algorithms, signal processing, physiology modeling and simulation.
+ Experience with Python, MATLAB, or similar programming language.
**Preferred Qualifications**
+ Advanced degree (Master's or Doctorate) in an engineering domain
+ Experience with SQL, Databricks, AWS/Azure, or similar big data processing tools
+ Experience utilizing machine learning techniques for problem solving.
+ Understanding of the diabetes space from disease etiology and pathogenesis through on-market devices and therapeutics is not required, but highly beneficial.
+ Experience in medical device industry.
**What We Offer**
At Abbott, you can have a good job that can grow into a great career. We offer:
+ **Training and career development** , with onboarding programs for new employees and tuition assistance
+ **Financial security** through competitive compensation, incentives and retirement plans
+ **Health care and well-being programs** including medical, dental, vision, wellness and occupational health programs
+ **Paid time off**
+ **401(k)** retirement savings with a generous company match
+ **The stability of a company** with a record of strong financial performance and history of being actively involved in local communities
**Learn more about our benefits that add real value to your life to help you live fully:?** ( your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at , on Facebook at and on Twitter @AbbottNews and @AbbottGlobal.
The base pay for this position is $112,000.00 - $224,000.00. In specific locations, the pay range may vary from the range posted.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
@ Twitch Irvine, CA; New York City; San Francisco, CA; Seattle, WA
**About Us**
Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and X , and discover the projects we're solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process.
**About the Role**
We're looking for a Data Scientist to join the Money team at Twitch, which supports the systems behind creator payouts, payments infrastructure, and fraud detection. In this role you'll focus on Payouts. Payouts is a high-leverage area that shapes how and when creators are paid and payout eligibility.
You'll work closely with product, engineering, finance, legal, and data partners to measure and refine our payout-related programs like the Plus Program and support new monetization initiatives to expand who can monetize on Twitch. While many changes are policy driven rather than AB tested, they require thoughtful measurement, reporting, operations, and causal reasoning.
This role is well suited for someone early on in their data science career who is eager to take ownership of high-impact, cross-functional projects and grow into a senior role. You'll need to be comfortable with writing SQL, working with imperfect data, and flexing into data workflows when data engineering coverage is limited.
You can work in San Francisco, CA; Irvine, CA; New York, NY; or Seattle, WA
**You Will:**
+ Analyze and evaluate policy and program changes that affect how creators are paid
+ Own reporting and insights related to payout eligibility, earning, and program performance
+ Partner with cross-functional stakeholders to inform product and business decisions
+ Write, maintain, and validate pipelines to support recurring analytics and reporting
+ Apply causal inference methods to estimate the impact of payout changes
**You Have:**
+ 1+ years of experience as a data scientist, data analyst, or a related field
+ Proficiency in SQL
+ Proficiency with Python or R
+ Understanding of Causal Inference concepts (ex/ DiD, matching, IPW, experiment design)
+ Strong communication skills across technical and non-technical stakeholders
+ High level of comfort creating dashboards
**Bonus Points**
+ Hands-on experience with Airflow, Sagemaker or deploying ML models in production environments
+ Strong familiarity with econometrics
+ Contribute to machine learning efforts in fraud or churn prediction
+ Experience Ideating, executing, and analyzing A/B tests.
**Perks**
+ Medical, Dental, Vision & Disability Insurance
+ 401(k)
+ Maternity & Parental Leave
+ Flexible PTO
+ Amazon Employee Discount
_Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records._
_Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records._
Job ID: TW8811
_Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on_ _a number of_ _factors including market location and may vary depending on job-related_ _knowledge, skills, and experience_ _. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial,_ _and/or_ _other benefits. This position will remain open until filled. For more information, please visit_ _ _._ _Applicants_ _should apply_ _via_ _our internal or external career site._
US Pay Per Year
$97,500-$185,000 USD
_Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status._
_Twitch values your privacy. Please consult our_ _Candidate Privacy Notice_ _, for information about how we collect, use, and disclose personal information of our candidates._
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
If you are interested in this position, please apply on Twitch's Career site Us:
Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and X, and discover the projects we're solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
We're looking for a Data Scientist to join the Money team at Twitch, which supports the systems behind creator payouts, payments infrastructure, and fraud detection. In this role you'll focus on Payouts. Payouts is a high-leverage area that shapes how and when creators are paid and payout eligibility.
You'll work closely with product, engineering, finance, legal, and data partners to measure and refine our payout-related programs like the Plus Program and support new monetization initiatives to expand who can monetize on Twitch. While many changes are policy driven rather than AB tested, they require thoughtful measurement, reporting, operations, and causal reasoning.
This role is well suited for someone early on in their data science career who is eager to take ownership of high-impact, cross-functional projects and grow into a senior role. You'll need to be comfortable with writing SQL, working with imperfect data, and flexing into data workflows when data engineering coverage is limited.
You can work in San Francisco, CA; Irvine, CA; New York, NY; or Seattle, WA
You Will
- Analyze and evaluate policy and program changes that affect how creators are paid
- Own reporting and insights related to payout eligibility, earning, and program performance
- Partner with cross-functional stakeholders to inform product and business decisions
- Write, maintain, and validate pipelines to support recurring analytics and reporting
- Apply causal inference methods to estimate the impact of payout changes
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
Basic Qualifications
- 1+ years of experience as a data scientist, data analyst, or a related field
- Proficiency in SQL
- Proficiency with Python or R
- Understanding of Causal Inference concepts (ex/ DiD, matching, IPW, experiment design)
- Strong communication skills across technical and non-technical stakeholders
- High level of comfort creating dashboards
Preferred Qualifications
- Hands-on experience with Airflow, Sagemaker or deploying ML models in production environments
- Strong familiarity with econometrics
- Contribute to machine learning efforts in fraud or churn prediction
- Experience Ideating, executing, and analyzing A/B tests.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Data Scientist
Posted today
Job Viewed
Job Description
2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Location Boston, Chicago, Houston, Los Angeles, New York, San Francisco Job Description About L.E.K. Consulting: L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact. We are uncompromising in our approach to helping clients consistently make better decisions, deliver improved business performance and generate greater shareholder returns. The firm advises and supports global companies that are leaders in their industries — including the largest private and public sector organizations, private equity firms and emerging entrepreneurial businesses. Founded more than 35 years ago, L.E.K. employs more than 2,200 professionals across the Americas, Asia-Pacific and Europe. For more information, go to . Overview Of The Data & Analytics Team L.E.K.'s Data & Analytics function is focused on creating and deploying best-in-class capabilities to drive business results for our clients. The team is comprised of data scientists, data engineers, technical business analytics consultants, and product managers who work together to solve some of the most challenging business problems our clients have. We drive the full analytics life cycle on client engagements: scoping and understanding business challenges, developing and maintaining robust data assets, creating and running innovative analytical techniques, generating compelling visualizations to communicate the findings / recommendations. We build, develop, and maintain innovative tools and applications for use across projects and for specific clients. We coach, mentor and train colleagues from across the business, on everything from what types of commercial problems analytical techniques can help solve to in-depth technical training for specific types of analysis. We are actively looking for a Data Scientist to join L.E.K.’s rapidly growing Data & Analytics team. The primary focus of this role is to provide technical expertise: helping to execute on complex analytics across a wide variety of often fast-paced client engagements, helping to build innovative tools and applications that can help solve client’s commercial issues, helping to execute cutting edge analytical techniques, helping to drive technical roadmaps for the function and firm, and training our colleagues. As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You receive state-of-the-art training in a variety of domains and lead the organization to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients. Data & Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information & Research Center and Knowledge Management. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients. Responsibilities Client engagements: Support end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectives Support clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows. Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one time Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizations Help drive the technical roadmap needed to support client engagements Analytical Apps, Service Lines, And Proprietary Data Assets Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problems Collaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offer Provide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicable Uphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainable Client / Business Development When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work Provide input into training / upskilling the D&A team provides to Managing Directors to ensure they are aware of all of our most current capabilities Capability Development Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions Support commercialization and upskilling of staff on relevant software, tools and techniques Help drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics function Qualifications And Experience Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics A minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data Scientist Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow) Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environments Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices Experience with commercial business analytics; experience at a consulting firm / agency is a plus Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholders Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence. For more information and to apply, go to L.E.K. Consulting is an Equal Opportunity Employer L.E.K. Consulting has a hybrid work model in place for our U.S. offices. In California, Illinois, and New York the base salary is between $85,000 - $20,000 (USD); placement within this range will vary based on experience and skill level. L.E.K. also offers a performance bonus, profit sharing and other benefits. In other locations, competitive pay is commensurate with the role and geography. Applicants for this position must be legally authorized to work in the United States on a permanent basis without the need for employer sponsorship. Unfortunately, we are unable to consider candidates requiring sponsorship for visas, including but not limited to TN, H1-B, F-1, STEM OPT/CPT, or any other work authorization. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Business Consulting and Services Referrals increase your chances of interviewing at L.E.K. Consulting by 2x San Francisco, CA 140,000 - 156,000 9 hours ago San Bruno, CA 119,000.00 - 169,000.00 3 weeks ago Data Scientist, Decisions - Customer Care Tech San Francisco, CA 100,000.00 - 115,000.00 1 day ago San Francisco, CA 85,000.00 - 120,000.00 1 hour ago San Francisco, CA 172,000.00 - 203,000.00 1 month ago San Francisco, CA 140,000.00 - 215,000.00 1 month ago San Francisco, CA 120.00 - 120.00 6 hours ago San Francisco, CA 130,000.00 - 230,000.00 5 months ago Data Scientist, Algorithms - Primetime Pricing Foster City, CA 180,000 - 200,000 3 days ago San Francisco, CA 155,000 - 172,000 2 days ago San Francisco, CA 100,000 - 200,000 6 months ago Foster City, CA 129,400 - 182,750 1 day ago San Francisco, CA 140,000 - 215,000 1 month ago South San Francisco, CA 175,000 - 200,000 6 days ago AI Training for Data Science (Freelance, Remote) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Be The First To Know
About the latest Data scientist Jobs in San Francisco !
Data Scientist
Posted today
Job Viewed
Job Description
One of our direct clients is urgently looking for a Data Scientist @ San Bruno CA . TITLE: Data Scientist LOCATION: San Bruno, CA Duration: 6 to 12+ Months Description: Role Specific Responsibilities: Collaborate with the Walmart Connect Sales and Marketing teams for the development, execution, and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities. Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans, and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders. Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys. Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis, and translating data into meaningful insights and actions. Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what for Walmart Connect advertisers. Support the development of executive-level presentations and perspectives. Identify gaps and opportunities for improving existing data sources and engage with broader Walmart teams to acquire and summarize these sources within the Walmart Connect environment. Support the Sales/Marketing teams in managing day-to-day operating activities and special projects. Facilitate the evangelization of the team’s charters, plans, and processes across the Sales & Marketing organization. Job Duties: Design and build new data set processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality, and predictive capabilities. Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources. Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis. Minimum Qualifications: PhD in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field. Knowledge of one of the scripting languages such as Python or Perl. Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R. Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). Working knowledge of Relational Data Base Systems and SQL. Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set. Excellent communications and organizational skills. Prior experience in this area with eCommerce or Online Retail would be a plus. Additional Requirements: MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments. Strong programming skills in R/Python. Must have hands-on data analytics experience. Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning). Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint). Experience in developing and presenting strategic, action-oriented oral & written communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience. #J-18808-Ljbffr
Data Scientist
Posted today
Job Viewed
Job Description
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises including DoorDash, Flexport, and Compass use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. Were committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex Our Scientists and Engineers work together to make data and insights derived from data a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers. What Youll Do As a Data Scientist focused on Product Analytics, you will work closely with Product, Engineering, and Customer Success teams to understand the interactions between product engagement, customer retention, and overall customer growth. Your work will be instrumental in shaping product decisions by uncovering insights into how customers interact with Brexs platform, identifying opportunities to refine the product experience, optimize user workflows, and introduce impactful changes that increase long-term customer value and drive sustainable revenue growth. The ideal candidate has experience leveraging product intuition and advanced analytics to understand customer behavior, measure product impact on revenue retention and growth, and derive insights through causal inference and predictive modeling. They should also have a strong ability to translate data insights into actionable recommendations for product and business teams. Where youll work This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year. Responsibilities: Develop and apply data-driven methodologies to analyze customer behavior, retention trends, and product adoption, focusing on how product changes impact long-term customer value. Design and implement predictive models, causal inference methods, as well as experimentation strategies to measure and optimize the effect of product changes on customer growth and engagement. Partner with Product, Engineering, and Customer Success teams to identify key opportunities for improving customer engagement and long-term retention. Collaborate with Data Engineering to build scalable data pipelines that support product analytics and reporting. Clearly communicate findings and strategic recommendations to both technical and non-technical stakeholders. Requirements: Masters degree or Ph.D. in Statistics, Computer Science, Economics, or a related quantitative field. 3+ years of experience in a data science, analytics, or related role focused on product analytics. Strong experience with SQL and Python (or R) for data analysis and modeling. Proficiency in A/B testing methodologies, causal inference, and predictive modeling. Ability to translate complex data insights into strategic business recommendations. Familiarity with BI tools (e.g., Tableau, Looker) and data visualization best practices. Strong problem-solving skills and the ability to work in a fast-paced, cross-functional environment. Bonus Points: Experience working in B2B SaaS or fintech. Experience in developing frameworks to measure feature adoption and identifying product opportunities that drive customer lifetime value. Familiarity with product analytics tools (e.g., Amplitude, StatSig). Compensation The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidates location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. #J-18808-Ljbffr
Data Scientist
Posted 2 days ago
Job Viewed
Job Description
- Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $T market size)
- Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)
- Disrupt a massive market and take us to a 10B business in the next few years
- Be immersed in a talent-dense environment and greatly accelerate your career growth
Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years - scale from 5M to 50M customers and become a 10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company's most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies.
Jerry is building the first super app to make car ownership affordable and accessible - insurance, buy/sell, registration, loans, safety, repairs, parking, etc - a 2T market in the U.S. We started with insurance in 2019, and since then we've launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised 240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries.
How you will make an impact:
- Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies
- Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies
- Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth
- Identify opportunities to automate manual processes and optimize operational efficiency
- Bachelor's degree in a quantitatively or intellectually rigorous discipline
- 1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis
- High level of comfort with SQL or Python
- You have a framework for problem solving and live by first principles
- You are comfortable communicating with audiences varying from front-line employees to the company's C-suite
- You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence
While we appreciate your interest and application, only applicants under consideration will be contacted.
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at
About Jerry.ai:
Jerry.ai is America's first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers - and we're just getting started.
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than 240 million in financing.
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that's disrupting a massive market.