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8d ago

Staff Data Scientist

State Farm Bloomington, IL

Bloomington, IL

8d ago

$160k - $220k/yr Full time Artificial Intelligence Big Data Bigdata

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Job Description

State Farm is seeking a Staff Data Scientist to lead modeling and decision science that supports personalized, coordinated engagement across acquisition, service, and retention journeys. This hybrid role will focus on building decision models and taking them through experimentation and engineering/product workflows to drive measurable outcomes.

What you’ll do

Lead the modeling and decision science powering personalized, coordinated engagement across acquisition, service, and retention journeys.
Develop propensity, churn, lifetime value, next-best-action, recommendation, prioritization, and other decision models for precision engagement.
Translate behavioral, transactional, marketing, digital, and contextual signals into scalable features and decisioning approaches.
Partner with experimentation teams to validate model-driven interventions and separate predictive accuracy from incremental business impact.
Design measurement approaches for model lift, calibration, treatment effectiveness, fairness, stability, and downstream customer outcomes.
Collaborate with engineering and product teams to productionize models and decision services in Databricks and connected activation platforms.
Guide identity, feature, and data requirements while accounting for privacy, consent, governance, and channel constraints.
Mentor technical talent and establish reusable standards for precision engagement modeling and decision science.

Minimum qualifications

Bachelor’s degree in a related quantitative field (advanced degree preferred).
8+ years of experience applying statistical modeling, machine learning, experimentation, or decision science to complex business problems.
Advanced proficiency in Python and SQL, with experience in modern cloud data and ML environments such as Databricks or comparable platforms.
Ability to convert ambiguous business questions into analytical approaches, production-ready models, and measurable outcomes.
Strong communication skills to explain technical concepts, assumptions, limitations, and recommendations to both technical and executive audiences.

Tools and technologies

Python
SQL
Databricks

Compensation and benefits

Potential starting salary range: $160,000 - $220,000 per year based on skills, background, and experience.
Potential yearly incentive pay up to 24% of base salary.
Annual raise and bonus eligibility.
Healthcare premium coverage: State Farm pays most of your healthcare premium, with multiple plan options including a high deductible plan.
100% coverage for in-network preventative care, plus access to vision, dental, telemedicine, and 24/7 mental health professionals.
Educational benefits, including industry leading training programs and tuition assistance programs.
Employee resource groups and mentoring.
Fertility/IVF/adoption assistance and other life-moment benefits (including college coaching, national discount programs, interactive monthly financial workshops, and free financial coaching).
Up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days.
Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund.
401(k) plan with company contributions of up to 7% of your salary.
Access to free financial advisors.

Hybrid work and locations

Hybrid means selected candidates will be assigned to a facility and spend some time working in the office and from home.
For Enterprise Technology, the hybrid arrangement requires approximately 40% in-office time each month, beginning in late 2027.
Hub locations: Bloomington, IL; Dunwoody, GA; Richardson, TX; Tempe, AZ.

Work authorization

Applicants must be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.

State Farm prioritizes work-life balance, and compensation is based on their standard 38:45-hour work week.

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8d ago

Data Scientist

State of Connecticut - Office of Governmental Accountability Hartford, CT

Hartford, CT

8d ago

$100k - $128k/yr Full time Analytics Data Data Analysis

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Job Description

The State of Connecticut, Office of Governmental Accountability, is seeking a Data Scientist to support the Office of the Correction Ombudsman’s oversight mission. This hybrid role in Hartford contributes through research, data collection and analysis, development of performance measures, and preparation of statistical and research products focused on Connecticut’s correctional system.

What you’ll do

Develop and conduct research projects covering conditions of confinement, correctional operations, health care, complaints, investigations, and other areas within the Office’s jurisdiction.
Collect, organize, analyze, and interpret quantitative and qualitative data from the Department of Correction, Office complaint records, surveys, interviews, public records, and other sources.
Develop and maintain databases, tracking systems, and tools used to monitor complaints, investigations, recommendations, trends, and outcomes.
Perform statistical and trend analyses to identify systemic issues, disparities, patterns, and changes within Connecticut’s correctional system.
Create performance measures and methodologies to evaluate correctional programs, services, policies, practices, and conditions.
Prepare statistical, narrative, and graphical presentations of research findings for reports, presentations, hearings, and other Office publications.
Support the development and analysis of surveys and other research instruments for incarcerated individuals and other stakeholders.
Conduct research related to correctional policies, practices, programs, and relevant state and national trends.
Provide research and data support for investigations, systemic reviews, legislative initiatives, policy recommendations, and public reports.
Apply statistical, analytical, and data management principles across datasets and projects.
Design and develop data-driven projects, translating business problems, domain knowledge, and management objectives into analytic work with agency staff.
Use established quantitative frameworks and computerized methods to analyze, summarize, visualize, and interact with data to support business and client needs.
Assess the strengths and weaknesses of standard analytical techniques.
Conduct literature reviews and prepare summaries to support agency activities.
Advise agency staff on appropriate data use, including identifying risks and benefits and suggesting remedies to offset any risks.
Develop project proposals, maintain databases and datasets, and produce reports for intra and extra departmental audiences.
Assess and implement technologies related to data preparation and analysis.
Perform related duties as required.

Required knowledge and skills

Knowledge of research design methods, statistical analysis, and data management.
Knowledge of management and development principles for data and analytics projects.
Knowledge of relevant state and federal statutes, regulations, and guidelines.
Knowledge of data preparation and management tools and technology for analytics projects.
Knowledge of data governance and data management practices.
Interpersonal and oral and written communication skills.
Ability to conduct analysis by collecting and preparing data and summarizing and reporting conclusions.
Ability to perform data analysis using appropriate data and quantitative frameworks to support program and/or policy decisions.
Ability to use relevant software and tools for spatial analysis and/or programming languages to run analyses and generate reports and visualizations.
Ability to develop project designs and implement them independently.
Ability to create clear, accurate summaries and visualizations and to build dynamic reports or dashboards based on findings.
Ability to translate data and analysis into policy or program recommendations.

Minimum qualifications

Seven (7) years of professional experience in data analytics, quantitative methods, or geographic information systems, including statistical modeling or spatial data analysis.
At least one (1) year of the general experience must have been at the junior working level assisting with data-management, analysis, and predictive activities to support data-driven decision-making (for state employees, interpreted at the level of an Assistant Data Scientist).
College training in data science, mathematics, statistics, biostatistics, epidemiology, public health, psychology, computer science, geographic information systems, geography, or a closely related field may substitute for general experience based on 15 semester hours equaling one-half (1/2) year of experience, up to four (4) years for a Bachelor’s degree.
A Master’s degree in data science, mathematics, statistics, biostatistics, epidemiology, public health, psychology, computer science, or a closely related field may substitute for one (1) additional year of general experience.

Preferred qualifications

Experience conducting quantitative or qualitative research, including research design, data collection, analysis, and interpretation.
Experience analyzing administrative, programmatic, operational, or other large datasets and preparing statistical and narrative reports.
Experience developing or maintaining databases, data tracking systems, dashboards, or data visualization tools.
Experience conducting research related to criminal justice, corrections, public policy, health and human services, or another governmental or social-services system.
Experience preparing research findings, data analyses, policy analyses, or reports for executive, legislative, governmental, or public audiences.

Role logistics and compensation

Location: Hartford, CT (hybrid); primarily based at 55 Farmington Avenue.
Occasional attendance at correctional facilities, meetings, hearings, or other off-site locations may be required based on operational needs.
Remote work may be available consistent with state policy and the operational needs of the Office.
Schedule: Monday-Friday, full time (40 hours/week), first shift 8:00 AM to 4:30 PM.
Salary range: USD 99,580 to 127,777 per year.

Benefits

Professional growth and development opportunities.
A healthy work/life balance to all employees.

Purpose of job class: In a state agency setting, this class independently performs a full range of data management, analysis, and predictive activities to support data-driven decision-making.

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8d ago

Senior Data Scientist - Experimentation

Apple New York, NY

New York, NY

8d ago

$185k - $278k/yr Full time Python Senior A/B Testing

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Job Description

Apple is building the next generation of ads experimentation capabilities, and this role focuses on designing and delivering a new experimentation platform for the Ads Platform organization. As a Senior Data Scientist, you will combine rigorous statistical thinking with scalable data engineering to support privacy-committed, data-driven feature launches that connect Apple users and advertisers.

The position is based in New York, NY (onsite), with a base pay range of USD 184,700 to 277,600 per year. The role requires a minimum of 5 years of relevant experience and an advanced degree in a quantitative field.

What you will do

Design and build a new generation of experimentation platform for the Ads Platform organization.
Use leading-edge technologies to enable safe, data-driven launches while delivering on Apple’s privacy commitment through experimentation.
Partner with stakeholders and data scientists to design experiments and statistical methods that reflect marketplace dynamics and support reliable treatment effects.
Provide technical guidance to engineers and scientists on statistical techniques, experiment design, and data engineering.
Run rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
Lead the design, development, and maintenance of scalable, reliable data pipelines.
Implement robust data quality checks, monitoring systems, and data lineage tracking.
Advocate best practices for data engineering.
Work directly with stakeholders, including senior leaders, to identify, scope, and prioritize high-impact questions.
Mentor junior engineers and scientists on the team.

Required qualifications

Advanced Degree in Computer Science, Statistics, Applied Math, or a related field.
5+ years of experience in software and data science or statistics, with an in-depth understanding of SQL and causal inference.
Experience in SDLC is preferred.
Direct experience conducting analysis to uncover insights and improve treatment effect estimates using SQL, Python, and statistical methods.
Experience with A/B testing infrastructure and methodologies, including a deep understanding of assumptions behind randomized control trials.
Familiarity with causal machine learning tools and technologies.
Strong grounding in observational causal techniques such as regression, propensity score matching, Diff in Diff, regression discontinuity, and instrumental variables.
Experience designing and analyzing controlled experiments or counterfactual causal inference studies to estimate incremental and long-term intervention impact.
Proficiency in SQL and PySpark or Scala to conduct analyses and build data products such as pipelines and dashboards for automated experiment reporting at scale.
Skilled at operating in a cross-functional organization and working through ambiguous, complex problems to produce clear, actionable takeaways.
Excellent communication, social, and presentation skills.

Tools and technologies

SQL, Python, statistical methods, PySpark, Scala
A/B testing
Causal machine learning tools and technologies
Regression, propensity score matching, Diff in Diff, regression discontinuity, instrumental variables
SDLC, data pipelines, dashboards

Compensation and benefits

Medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Discretionary bonuses or commission payments, and relocation (if eligible)
Participation in Apple’s discretionary employee stock programs, including eligible discretionary restricted stock unit awards and eligibility to purchase Apple stock at a discount via the Employee Stock Purchase Plan

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

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8d ago

Senior Data Scientist

Microsoft Redmond, WA

Redmond, WA

8d ago

$120k - $261k/yr Full time Senior Artificial Intelligence Data Analysis

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Job Description

At Microsoft, this Senior Data Scientist role supports improvements to the Microsoft consumer eCommerce experience by combining data science with emerging AI. The work focuses on building analytics and AI solutions that help teams understand customers, generate insights, and make better decisions, with a strong emphasis on translating real needs into scalable analytical approaches.

What you’ll do

Apply data science techniques to customer and business problems, including machine learning, statistical analysis, experimentation, causal inference, segmentation, forecasting, and predictive modeling.
Turn ambiguous business and user needs into clear analytical approaches and scalable solutions.
Create solutions tied to users and decision-making scenarios so insights are easier to discover, understand, and act on.
Explore and apply emerging technologies, including generative AI, large language models, and AI agents, to strengthen insight generation and analytical experiences.
Rapidly prototype and evaluate new methods, balancing technical proficiency with speed and practical business value.
Build and operationalize analytical and machine learning solutions in partnership with engineering and other technical teams.
Choose the right approach for each problem, including traditional analytics, machine learning, generative AI, or combinations of techniques.
Assess solutions using both technical quality and real-world effectiveness, including usability, adoption, decision quality, and business impact.
Communicate analytical concepts, findings, and recommendations clearly to both technical and non-technical audiences.
Develop reusable analytical methods, frameworks, and capabilities that can scale across users and business scenarios.
Embody Microsoft’s culture and values.

Minimum qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results)
OR Master’s degree in a related field AND 3+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results)
OR Bachelor’s degree in a related field AND 5+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results) OR equivalent experience

Technologies you may use

machine learning, generative AI, large language models, AI agents
Python, SQL

Preferred qualifications

Experience applying data science, machine learning, applied statistics, or related quantitative techniques to real-world business problems.
Experience working with large, complex datasets using Python and SQL.
Experience with machine learning, statistical methods, experimentation, model evaluation, and analytical problem solving.
Experience translating ambiguous business questions into structured analytical approaches and actionable recommendations.
Experience extending analytical work beyond analysis or model development into solutions, products, or workflows used by others.
Experience applying generative AI, LLMs, AI agents, or other emerging AI technologies to analytics, insight generation, or business workflows.
Experience in areas such as personalization, customer analytics, behavioral data, segmentation, recommendation systems, or experimentation.

Role details

Location: Redmond, WA (onsite)
Compensation (base): USD 119,800 - 261,000 per year
Data Science IC4 typical base pay range (U.S.): USD 119,800 - 234,700 per year
Additional location-specific range: San Francisco Bay area and New York City metro area: USD 160,200 - 261,000 per year
Certain roles may be eligible for benefits and other compensation. Learn more: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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8d ago

Senior Data Scientist

VISUAL SOFT, INC Washington, DC

Washington, DC

8d ago

Full time Senior Big Data Data Analysis

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Job Description

VISUAL SOFT, INC supports secure, mission-critical data environments within a classified cloud infrastructure. This Senior Data Scientist role is fully onsite in Washington, DC and requires an active TOP SECRET clearance.

As part of a hands-on Agile environment, you will work with large-scale data and apply data science models to turn complex datasets into actionable insights. You will also be responsible for improving how data is handled, searched, retained, and validated for quality in a classified setting.

Responsibilities

Work in a hands-on Agile environment
Utilize big data technologies and data science model knowledge to analyze large volumes of data and produce valuable insights
Find and design new approaches for handling, analyzing, and using large datasets
Explore fundamental issues related to data handling, search, and retention
Solve complex data and storage problems
Design and implement new software coding to improve data search processes
Design, test, and validate data and data process quality
Analyze and report results with actionable recommendations

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
10 years of experience in data science
Experience working in an Agile/Scrum development environment
Excellent problem-solving, analytical, and communication skills
Active TOP SECRET Clearance (U.S. Citizenship Required)
US Citizens with active TOP SECRET clearance are required for the project with a Major Prime

Benefits

3 weeks of Paid Time Off (PTO) including sick leave
2 floating and 8 public holidays
Any unused PTO is issued as a check at the end of an employee’s anniversary
Floating and holidays expire at the end of every year of service
Company covers 50% of health and dental insurance for all full-time employees
Dependents can be added at additional cost
STD, LTD, and one time salary equivalent of life insurance at no cost to full-time employees
Eligible full-time (or w-2) employees may participate in the 401k after 90 days, with a 4% company match and immediate vesting
All w-2 employees are eligible for profit sharing with no employee contributions required

Clearance and work location: TOP SECRET clearance is required and the position is fully onsite.

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8d ago

Senior Data Scientist, Fisheries & Water Resources

ICF San Francisco, CA 🇺🇸 Remote

San Francisco, CA

8d ago

$81k - $167k/yr Full time Senior Data Analysis Data Pipeline

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Job Description

ICF is hiring a Senior Data Scientist for its Fish and Aquatic Science and Technology Team, supporting water resource clients with quantitative analysis, decision support modeling, and applied science publications. This remote role from San Francisco, CA is near-term focused on Chinook Salmon in California’s Central Valley, with opportunities to build reproducible data science workflows and contribute to deliverables used by clients and stakeholders.

In this position, you will help translate monitoring data into transparent models and decision tools, while also participating in scientific writing and client-facing discussions. You can expect a collaborative, interdisciplinary environment where technical depth and clear communication are both central to delivery.

Responsibilities

Conduct analyses and lead or assist with writing scientific documents, technical reports, and peer-reviewed manuscripts for fish-related projects
Develop, update, and document statistical, population, and decision support models for fish and water resource management (including Chinook Salmon recovery and flow decisions)
Build and maintain reproducible codebases and automated data pipelines that connect monitoring data to models
Meet with water resource clients to discuss technical aspects of planning, implementation, and monitoring
Describe projects and interpret analyses through written and oral communication and interactive visualizations for a broad audience, sometimes in contentious environments
Conduct scientific research to generate knowledge that informs resource management
Collaborate with a multi-disciplinary technical team to complete analyses and documentation on time and within budget
Develop scope and budget and write proposals
Build and maintain client relationships
Mentor junior biologists

Requirements

Master’s degree in fisheries biology, fisheries and wildlife, quantitative ecology, or equivalent science-related field
5 years of increasingly complex assignments in fish data science

Key Technical and Domain Skills

Fish management expertise in Northern California, including Chinook Salmon population dynamics, endangered species recovery, habitat restoration, flow management, and monitoring program design
Water management expertise in California, including reservoir and conveyance operations, water supply and allocation, environmental flows, and drought and flood management
Ability to understand and interpret water operations and hydrologic and hydraulic information and connect implications to fish populations, habitat, and decisions
Familiarity with California water policy and the legislative process
Strong quantitative analysis skills to evaluate effects of proposed actions, including hierarchical and Bayesian statistical models and machine learning
Ability to interpret hydrologic, hydraulic, and telemetry modeling outputs and integrate them into fish population and decision-support models
Advanced statistical analysis capability and proficiency in R, Python, and SQL

Open and Reproducible Data Science

Demonstrated ability to design and implement transparent, reproducible, and collaborative workflows aligned with U.S. federal Open Science and Open Data expectations
Experience with documented, version-controlled analytical workflows
Clear data provenance, automation of data processing and reporting, and production of reusable data, code, and analytical products
Ability to establish shared workflows and documentation to support collaboration, scientific review, knowledge transfer, and reuse across teams and agency partners

Tools and Technologies

R, Python, SQL, Stan, Template Model Builder, R Shiny

Communication, Project Management, and Leadership

Peer-reviewed scientific publication record and experience presenting at professional conferences
Ability to translate scientific findings into policy-relevant recommendations in workshops and structured decision-making processes
Experience expressing results to technical and non-technical audiences through technical reports, presentations, and interactive visualizations (including R Shiny applications), including in stressful or contentious settings
Ability to manage multiple simultaneous long-term projects, including budget tracking, staff coordination, client relationship management, and completion of required products/reports
Track record of high-quality standards, team collaboration with respect and professionalism, leveraging team strengths, and mentoring junior team members through code review and documentation practices
Expertise and passion for science and resolving complex fish problems while balancing science with business acumen, marketing, and expansion opportunities

Work Authorization

All candidates must be authorized to work in the United States
This role is not eligible for new H-1B visa sponsorship by ICF
Candidates with valid work authorization may be considered for a change of employer petition, subject to company policy and applicable immigration requirements

AI Use During Interviews

Use of artificial intelligence tools to generate or assist with responses during interviews (in-person or virtual) is not permitted
If an accommodation involving AI is needed, candidates should contact candidateaccommodation@icf.com in advance

Pay range: $81,147.00 - $166,919.00 per year (based on full-time employment). Location: San Francisco, CA (CA87) (remote).

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8d ago

Sr. data scientist- Data & Analytics

Starbucks Nashville, TN

Nashville, TN

8d ago

$115k - $192k/yr Full time Senior Artificial Intelligence Big Data

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Job Description

Starbucks is looking for a Senior/Lead Data Scientist in Nashville, TN (onsite) to build statistical and machine learning solutions that address high-impact problems and inform business decisions. This role combines hands-on model development with operationalizing analytics so results can be used in real workflows. You will collaborate across functions to turn ambiguous questions into measurable outcomes.

What you’ll do

Develop and apply analytical models using statistical and/or machine learning methods to improve decision-making, performance, and customer or partner outcomes.
Translate business needs into data science solutions by defining the approach, sourcing and validating data, and communicating clear recommendations to both technical and non-technical stakeholders.
Operationalize your work by building repeatable analysis and model pipelines, improving model performance over time, and contributing to shared standards such as documentation, version control, and reproducibility.

Requirements

4+ years in data science, applied analytics, or a closely related field.
BA/BS in a quantitative field (or equivalent practical experience).
Proficiency with Python or R and SQL.

Preferred qualifications

MS/PhD in a quantitative discipline (or equivalent advanced experience).
Experience deploying or maintaining models in production, including monitoring, retraining, and performance measurement.
Experience with cloud analytics platforms (such as AWS or Azure) and/or distributed computing (such as Spark).
Familiarity with experiment design / causal inference and translating findings into business actions.
Demonstrated ability to mentor others and influence cross-functional partners toward adoption.

Tools you’ll work with

Python, R, SQL, AWS, Azure, Spark

Compensation

USD 115,300 - 192,400 per year

Benefits

Medical, dental, and vision
Basic and supplemental life insurance
Other voluntary insurance benefits
Short-term and long-term disability
Paid parental leave
Family expansion reimbursement
Paid vacation from date of hire
Sick time (accrued at 1 hour for every 25 hours worked)
Eight paid holidays
Two personal days per year
Participation in a 401(k) retirement plan with employer match (eligible partners)
Discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement
Vacation accrual rules for certain states (CA, CO, IL, LA, ME, MA, NE, ND, RI) and other states