Senior Data Scientist

Data Scientist - Social Analytics

We’re building a Frontier Marketing organization that learns fast and executes w...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
1+ years of experience ingesting, cleaning, and analyzing large-scale social media data, including unstructured and semi-structured signals (e.g., posts, comments, engagement metadata), with attention to data quality, bias, and analytical fitness for use
1+ years of experience with social network analysis algorithms including community detection, centrality metrics, influence propagation models, graph-based clustering methods
1+ years of experience applying statistical or machine learning techniques to social or behavioral analytics problems
1+ years of experience with advanced visualization techniques for social analytics and tools such as PowerBI

Job Responsibility

Execute well-defined social analytics projects, translating business questions into analytical approaches with guidance from senior data scientists
Apply social analytics and social network analysis techniques (e.g., graph analytics, community detection, centrality analysis, influence or diffusion concepts) to understand engagement and behavioral patterns
Analyze large-scale, noisy, and unstructured social media data, contributing to incremental improvements in data quality, feature engineering, and analytical relevance
Develop analytical outputs, metrics, and visualizations that support marketing, public relations, and product decision-making
Collaborate with analysts and senior data scientists to contribute to scalable and self-serve analytics solutions
Communicate findings clearly through written summaries, presentations, and visualizations, translating technical results into business-friendly insights
Follow established best practices for data science quality, documentation, and reproducibility, and contribute to shared team standards and learnings
Embody our culture and values.

Fulltime

We’re building a Frontier Marketing organization where the Media Data Science & ...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) experience in data science, applied statistics, machine learning, or quantitative research
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years experience in data science, applied statistics, machine learning, or quantitative research
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science, applied statistics, machine learning, or quantitative research
OR equivalent experience.
4+ years of experience with Python or R for statistical analysis and machine learning.
4+ years of experience with SQL and data pipeline development.
3+ years of experience designing and analyzing A/B experiments or causal inference studies.
2+ years of experience with Bayesian methods, causal inference techniques (e.g., difference-in-differences, instrumental variables, propensity score matching), or heterogeneous treatment effect estimation.
2+ years of experience building and deploying ML models.
4+ years of experience presenting complex technical findings to both technical and non-technical senior level stakeholders.

Job Responsibility

Design and implement advanced experimentation frameworks including Bayesian hypothesis testing and causal inference modeling.
Develop heterogeneous treatment effect analyses to understand differential campaign impacts across customer segments.
Establish clear linkage between A/B test results and desired business outcomes.
Assess the degree to which campaigns meet business objectives and address gaps.
Ensure alignment on definitions and standards across stakeholders.
Define, design, and promote appropriate feedback and evaluation methods. Present results and findings to senior stakeholders.
Build and deploy ML models to support portfolio impact measurement and campaign analytics at scale.
Develop and maintain data pipelines that enable scalable, automated analysis.
Evaluate the viability of automated methods for data collection, reporting, and analysis.
Ensure solutions are reusable, easily discoverable, and self-service oriented.

Fulltime

Senior Marketing Data Scientist

The Marketing Data Science team sits within the broader Product Data Science org...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

2–3 years of experience conducting quantitative analyses, ideally within a marketing or growth environment
Master’s degree or higher in a computer, mathematical, physical, life, or social science discipline (preferred)
Strong SQL skills and experience working with relational databases (e.g., BigQuery, Redshift) to extract, transform, and synthesize data
Proficiency with visualization and reporting tools, such as Python, Looker, or Redash, and experience building clear, actionable reporting solutions
Knowledge of core statistical methods used for hypothesis testing and analytical inference
Strong analytical and problem-solving skills, with the ability to translate data into clear insights, recommendations, and next steps, communicated concisely and transparently
Commitment to our values: Welcoming differences
Being relationship-minded
Practicing responsible participation
Having grit

Job Responsibility

Own marketing tests end-to-end, leveraging and contributing to our Python-based measurement workflows
Collaborate with senior ICs to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions
Develop reporting and monitoring tools that surface business insights and increase visibility into marketing performance and impact
Conduct deep-dive analyses to investigate questions related to performance, audiences, monetization, attribution, and data integrity
Provide flexible analytical support across the team’s project portfolio, taking high-level direction from senior ICs while independently owning specific components of the solution

What we offer

Generous performance-based bonus plans to all eligible employees - we share in our success as one team
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Senior Assessments Lead / Social Scientist

Amentum is seeking a highly skilled and experienced Senior Social Scientist to s...

Location

United States , Tampa

Salary:

Not provided

Amentum

Expiration Date

Until further notice

Requirements

Must have an active Top-Secret security clearance and be SCI eligible
US Citizenship is required to obtain a Top-Secret Clearance
Proven experience in sociocultural analysis, behavioral support, and the development of communication strategies
Expertise in managing and executing diverse global research program and reporting on results
Exceptional written acumen to include creation of research reports, white papers and peer reviewed quality research
Demonstrated proficiency in AI-generated analytical tools and their application to sociocultural and behavioral analysis
Strong leadership skills with the ability to manage diverse teams in high-stress and dynamic environments
Commitment to ethical practices in research and operational contexts
Willingness and capability to travel internationally, often to challenging environments
Advanced degree in a relevant field (e.g., Mass Communication, Sociology, Anthropology, Psychology, or related disciplines) essential

Job Responsibility

Lead, mentor, and guide a team of Social Scientists in both office and field environments
Develop and oversee sociocultural analysis and behavioral support strategies aligned with communication initiatives and OIE objectives
Employ AI-driven analytical tools to improve the accuracy and efficiency of assessment processes
Provide analysis, finished products, and raw data that facilitate the execution and assessment of OIE activities and investments
Provide expert advice to military leadership on sociocultural dynamics, behavioral trends and shifts of audiences, and the strategic application of emerging technologies
Conduct thorough research on target audiences, utilizing Department of Defense methodology while applying industry techniques to develop detailed profiles for designated areas of interest
Stay at the forefront of technological advancements in the field, advising military leadership on the adoption of relevant new tools and methodologies
Participate in international travel, including operations in austere or conflict-affected regions, to support field teams and ensure alignment of strategies with on-ground realities

What we offer

Health, dental, and vision insurance
Paid time off and holidays
Retirement benefits (including 401(k) matching)
Educational reimbursement
Parental leave
Employee stock purchase plan
Tax-saving options
Disability and life insurance
Pet insurance

Fulltime

Senior Applied Scientist

We are building large-scale, Azure-based intelligence platform that transforms c...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models
Proficiency in programming for data science (e.g. using Python or R for data analysis and modeling) and experience with data querying languages (e.g. SQL)
Big Data & Distributed Computing: Hands-on experience with large-scale data processing using tools like Apache Spark or Azure Databricks for training and inference workflows
Advanced Analytics: Skilled in time-series analysis and anomaly detection techniques (e.g., ARIMA, isolation forests) applied to business contexts for actionable insights
LLMs & Domain Adaptation: Practical experience with prompt engineering, fine-tuning GPT-like models, and applying LLMs in domain-heavy areas (healthcare, agriculture, social sciences) while ensuring privacy and Responsible AI compliance

Job Responsibility

Lead the design and implementation of machine learning models for recommendations, anomaly detection, and actionable insights
Drive experimentation and validation of models. Mentor junior scientists and contribute to model governance and Responsible AI practices
Partner with engineering and BI teams to operationalize insights into dashboards and alerting systems
Advance feature adoption scoring and health check analytics through data-driven approaches
Engineer optimal prompts for various LLM calls, using chain-of-thought and other advanced techniques
Fine-tune SLMs to efficiently scale the solution to millions of advertisers
Generate account planning guidance, tailored talking points, pitch assets, follow ups using agentic orchestration

Fulltime

Senior Manager, Research & User Intelligence (Card Platforms & Data)

Capital One’s Experience Design (XD) organization is focused on co-creating memo...

Location

United States , McLean, Virginia; Richmond, Virginia; New York, New York

Salary:

200700.00 - 229100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 4 years of professional experience in User Experience Research, Data Science, or Customer Experience Research
At least 4 years of experience aggregating, collecting, and analyzing quantitative and qualitative data
At least 3 years of experience autonomously leading multi-stakeholder projects or research programs

Job Responsibility

Optimize and Scale Cumulative User Intelligence: Plan and conduct connected studies and establish data acquisition mechanisms that contribute to a collective body of user intelligence that fuels product teams’ planning and decision-making, while maintaining a high degree of governance and risk compliance
Prioritize and lead rapid testing within the product development lifecycle: Create and evolve research agents and research platforms to accelerate learning velocity: extracting insights from existing intelligence repositories, conducting rapid discovery, concept, content, and usability testing
Manage and Maintain Continuous Discovery Programming: Drive collaboration with research ops to enable partner teams to access their users to maximize empathy and understanding
Support UX Measurement and Hypothesis-driven Design: Partner with CX, data scientists, analysts, and designers to identify and track domain-specific UX metrics
Assist in developing mechanisms to collect/measure UX metrics, conduct analysis using UX and other metrics to identify critical correlations between user behavior and business success
Conduct and Socialize Data Triangulation & Synthesis: Utilize behavioral analytics, quantitative data, and qualitative insights to produce actionable insights
Establish channels to socialize learnings to stakeholders in order to drive impact

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

New

Designer 1

We have an exciting opportunity for an entry level engineer interested in a care...

Location

United States , Greenwood Village

Salary:

Not provided

Selectek

Expiration Date

Until further notice

Requirements

Education: Bachelor’s degree in Mechanical or Electrical Engineering or GIS background, or associates in drafting
Strong communication skills
Reliable Transportation for use on the rare occasion a visit to a site may be required to take pictures and measurements.

Job Responsibility

Prepare project and job packages that include material lists, requisitions, labor estimates, site drawings and construction drawings for various installations of electrical facilities in a cost-effective manner that maximizes safety and service reliability
Read and interpret blueprints, maps, change orders, improvement plans, construction specifications, procedure manuals, operational procedures, etc.
Perform drafting work and assist in the preparation of designs, plans and reports
Make accurate engineering calculations
Organize and analyze field data and prepare accurate and detailed reports and records
Learn, practice, and promote ALL safety policies and procedures 100% of the time
Apply various codes, requirements, regulations, policies, and procedures to all assigned work
Use various design software and work management tools
Evaluate distribution equipment such as transformers and fusing
Follow utility construction practices on public right of way (ROW) and private land

Fulltime

New

Pharmacy Manager

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Trenton

Salary:

65.00 - 85.00 USD / Hour

CVS Health

Expiration Date

August 22, 2026

Requirements

Active Pharmacist License in the state where the Store is located
Active National Provider Identifier (NPI)
Not on the DEA Excluded Parties list
1-2 years of experience as a Pharmacist

Job Responsibility

Leading and developing a pharmacy team that provides exceptional patient care by promoting best practices and leading through change while identifying and addressing performance opportunities
Supporting novel program awareness, onboarding newly hired pharmacy team members, and recognizing colleagues for their success
Consistently exhibiting best practices when working the bench, including quarterbacking the team, providing patients with meaningful counseling, and abiding by all legal and regulatory guidelines
Helping to manage and improve patient health through safe and appropriate dispensing, counseling, and immunizing practices
Overseeing the pharmacy team during bench shifts, including strengthening pharmacy performance measures through effective coaching and consistent follow-up of pharmacy team members
Supporting safe and accurate prescription fulfillment by following pharmacy workflow procedures and utilizing the safety guardrails at every workstation
Contributing to positive patient experiences by showing empathy and genuine care, and coaching the pharmacy team to do the same
Proactively offering and delivering immunizations to keep patients healthy
Supporting the effective management of pharmacy inventory by following all inventory best practices
Conducting new Technician and Pharmacist onboarding for the store and district

What we offer

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Other resources
CVS Health bonus, commission or short-term incentive program

Fulltime

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Senior Data Scientist - Social Analytics

Job Description

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