Data Scientist, Analytics Job at Meta (New York)

Senior Data Scientist - Workforce Analytics

As a Senior Data Scientist on our Team, you will partner closely with key busine...

Location

United States , San Francisco

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience working with data
BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field
experience in building business impacting analytic solutions
experience using data to influence operational teams
track record of successfully driving analytic initiatives
ability to bridge the gap between business problem and data
strong communication skills (non-technical) and core tech skills
ability to learn new things quickly
ability to take an ambiguous assignment and move rapidly to deliver iterative value
ability to mentor / grow less experienced analysts

Job Responsibility

Work with a strong group of data scientists to advance core data artifacts
develop strong collaborative partnerships with business and operations leaders
provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis
work with a cross functional team to drive improvement and efficiency
use compelling data, deep business acumen and exceptional communication to drive business strategy and execution
address business challenges, performance bottlenecks and growth opportunities with analytic solutions
propose rapid experiments or A/B tests to assess the effect of new strategies or initiatives
play the role of analytic visualization expert in cross functional teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Data Scientist - Analytics

We are seeking a Data Scientist – Analytics to join our team and help bridge the...

Location

United States , Palo Alto

Salary:

124000.00 - 186000.00 USD / Year

AppLovin

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline
Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis
0–3 years of experience in data analytics or data science (internships or projects count)
Proficiency with SQL and at least one analytical programming language (Python preferred)
Ability to work with large datasets and translate findings into actionable recommendations
Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences
Curious, proactive mindset with a desire to learn quickly and contribute meaningfully

Job Responsibility

Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance
Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis
Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends
Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities
Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives
Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health
Assist in designing A/B tests, computing key metrics, and interpreting results
Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making
Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics
Work with product and business teams to understand analytical needs and translate them into actionable solutions

What we offer

dental
vision
other benefits
equity
other forms of incentive compensation

Fulltime

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...

Location

United States , San Francisco; New York City; Austin

Salary:

185300.00 - 266300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
6+ years of experience as a data scientist, data analyst, or data engineer
Experience supporting product development teams and driving product growth insight
Background in SaaS, consumer tech, or data-driven product environments preferred
Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
Strong statistical foundation
Experience at an AI-native company, with exposure to building or scaling products powered by AI

Job Responsibility

Own and maintain core product data pipelines across DBT, Looker, and Omni
Build and refine dashboards that deliver self-serve, real-time insights
Lead the development and delivery of company-wide strategic insights
Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
Establish trusted partnerships as the go-to resource for product data insights
Collaborate with leadership to define the analytics roadmap and prioritize initiatives
Mentor junior team members and cross-functional partners
Support end-to-end analytics for all product launches
Deliver comprehensive strategic analyses or experiments
Lead or participate in cross-functional projects

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Data Scientist, GTM Analytics

Our data team’s mission is to fuel Airtable’s growth and operations. We are a st...

Location

United States , San Francisco; New York City; Austin

Salary:

161500.00 - 221500.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred
4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders
Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
Familiar with CRM platforms (i.e., Salesforce)
6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
6+ years of experience working with Python or R for analytics or data science projects
6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran
Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
Excellent communication skills to present findings to both technical and non-technical audiences

Job Responsibility

Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices
Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.
Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight
Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products
Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...

Location

United States , New York

Salary:

110000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
Digital and Marketing strategy curiosity
Experience with statistical software such as Python, R
Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
Excellent communication skills – especially translating complex technical findings into plain language insights
Demonstrated ability to develop new and lasting client relationships across multiple industries
Team oriented and collaborative working style
Management experience and demonstrated ability to develop talent and build a high performing team

Job Responsibility

Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
Deliver results as a persuasive story
Support client retention and new business opportunities
Contribute to the development of junior consultants through knowledge sharing and mentorship
Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques

What we offer

Medical insurance, dental, and vision
Emphasis on work-life-balance and 20 PTO days per year and holidays
Dynamic environment with a strong culture and great office in FiDi
Close-knit team with friendly environment, bi-monthly team events
Creative and entrepreneurial start-up environment with strong promotion opportunities
Best-in-class methodologies and cutting-edge technologies in marketing analytics
Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Client exposure up to the executive level in different industries and countries
Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Generous bonus package

Fulltime

Data Scientist - Consumer Analytics

Growth through diversity, equity, and inclusion. As an ethical business, we do w...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
Familiarity with customer analytics DS concepts or advanced forecasting
Model hyperparameter tuning
Model validation frameworks
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
Fluency in Python, basic working knowledge of SQL
Knowledge of specific DS/ML libraries
Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
Basic computer programming skills and familiarity with programming concepts
Strong business acumen

Job Responsibility

Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
Pre-sales activities (at senior consultant level)

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Web Data Scientist

The Research, Analytics & Data Science (RAD) team at Intercom use data and insig...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Track record working with and influencing the roadmaps of web teams
Significant experience of using AB testing to optimise website performance
Strong familiarity with Google Analytics
Excellent communication skills (technical and non-technical) and a focus on driving impact
Desire to mentor other data scientists and share best practices to elevate the use of data science at Intercom
Growth mindset and sense of ownership
Excellent SQL skills

Job Responsibility

Build relationships with and influence web leads from product, design and engineering to shape the strategy and roadmaps for our websites
Measure outcomes and develop success metrics to understand the impact of changes, through analysis and experimentation and collaborate with our RevOps teams to understand how our website contributes to Intercom’s commercial performance
Drive projects to improve the tools and infrastructure that data scientists use to do their work
Be a role model for more junior data scientists on the team

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too

Fulltime

Data Scientist, Analytics

Meta

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 02, 2026

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