Data Scientist II, Growth Marketing
Remote
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others.
The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest.
What you'll do:
Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc.
Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting.
Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
What we're looking for:
5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
Experience leading key technical projects.
Strong Experimentation background.
Statistical rigor. Experience with causal inference projects.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$114,297-$235,319 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Auto-Apply
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you'll do
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we're looking for
4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
Excellent communication skills and ability to explain learnings to both technical and non-technical partners
A team player who's able to partner with cross-functional leadership to quickly turn insights into actions
Bachelor's degree in Computer Science, a related field or equivalent experience
This position is not eligible for relocation assistance.
#LI-REMOTE
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$101,382-$209,296 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Auto-ApplyStaff Data Scientist, Engagement Ecosystem
Remote
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
We are looking for a Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you'll do
Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks.
Lead projects on:
Tradeoffs between organic engagement and advertising.
Deep dives on how engagement metrics impact monetization and retention.
Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes.
Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries.
Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference.
Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights.
Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.
What we're looking for
10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.
Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
Track record mentoring and growing data talent at the staff/senior IC level.
Cross-functional leadership and the ability to align competing interests towards shared goals.
Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences).
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-NM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$164,695-$339,078 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Auto-ApplyStaff Data Scientist, Ads Performance
Remote
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.
What you'll do:
Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
What we're looking for:
8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.
Proficiency in leveraging large datasets for performance analysis and gap identification.
Proven ability to apply scientific methods to solve real-world problems on web-scale data
Expertise in SQL and Python
Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience leading key technical projects and substantially influencing the scope and output of others
Experience in digital ad delivery stacks preferred
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-NM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$164,695-$339,078 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Auto-ApplyStaff Data Scientist, Forecasting
Remote
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
What you'll do
Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.
Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.
Drive broader time‑series impact beyond point forecasts-e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health.
Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.
Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.
What we're looking for
8+ years of combined post-graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data.
A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing decision-making.
Strong background in time‑series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
Expertise in at least one scripting language (ideally Python).
Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).
Business acumen and ownership mindset-able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
Excellent communication skills-able to distill complex analyses and uncertainty into concise narratives for executive audiences.
Proven technical leadership-success leading critical projects and materially influencing the scope and output of other contributors.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
#LI-NM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$164,695-$339,078 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Auto-ApplyStaff Data Scientist, Curation Ecosystem
Remote
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Curation is a strategic initiative at the heart of the Pinner experience that enables pinners to create a life they love by discovering and curating their own taste. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems that deliver both utility and delight to our Pinners.
We are looking for a Staff Data Scientist with strong product sense, good product taste, and machine learning and statistics to help advance Curation at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner, and you will work on cutting edge zero to one product bets. You will work in a highly collaborative environment, and be responsible for partnering with a diverse set of cross-functional partners across Product, Engineering, Design, Research, and more. You are expected to develop a deep understanding of Pinterest Trends, Pinner Needs, our recommendation system, and generate insights and robust methodologies to answer the “why”. The results of your work will influence our development teams, and drive product innovation.
What you'll do:
Build a deeper understanding of our Pinterest Curation ecosystem; understanding and quantifying the opportunities and Pinner needs around boards, trends, collages, and more.
Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations.
Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process.
Mentor and up-level junior data scientists on the team.
What we're looking for:
7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
Strong interest and experience in recommendation systems and causal inference
Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark)
Ability to work independently and drive your own projects
Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners
A team player eager to partner with cross-functional partners to quickly turn insights into actions
Bachelor's/Master's degree in a relevant field such as computer science, or equivalent experience.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-NM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,064-$335,720 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Auto-ApplyData Scientist (Technical Leadership)
Columbus, OH jobs
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
13. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
15. Masters or Ph.D. Degree in a quantitative field
16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
17. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Scientist, Product Analytics
Columbus, OH jobs
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Scientist
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist Responsibilities:
1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products.
2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior.
4. Build models of user behaviors for analysis or to power production systems.
5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
6. Design and implement dashboards and reports that track key business metrics and provide actionable insights.
7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
9. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following
11. Relational database (SQL)
12. Developing in scripting language (Python, R)
13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive)
14. Data Visualization (Tableau)
**Public Compensation:**
$165,787/year to $196,900/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Engineer (Analytics)
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer (Analytics) Responsibilities:
1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9. Influence product and cross-functional teams to identify data opportunities to drive impact.
10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
12. Telecommuting is permitted from anywhere in the U.S.
13. Domestic and International Travel Required 5%.
**Minimum Qualifications:**
Minimum Qualifications:
14. Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics or related field and 5 years of progressive, post- baccalaureate work experience in the job offered or in a related occupation
15. Experience must include 5 years in the following:
16. 1. Features, design, and use-case scenarios across a big data ecosystem
17. 2. Custom ETL design, implementation, and maintenance
18. 3. Object-oriented programming languages
19. 4. Schema design and dimensional data modeling
20. 5. Writing SQL statements
21. 6. Analyzing data to identify deliverables, gaps and inconsistencies
22. 7. Managing and communicating data warehouse plans to internal clients
23. 8. MapReduce or MPP system
24. 9. Python
**Public Compensation:**
$243,665/year to $279,400/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Engineer, Analytics
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9. Influence product and cross-functional teams to identify data opportunities to drive impact.
10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
12. Project management leveraging Agile or Kanban methodologies.
13. Create detailed design reviews to represent architectural design options.
14. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
15. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following:
16. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
17. Programming in Python, Perl, Java, or PHP
18. Writing SQL statements
19. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
20. Data warehousing architecture and plans
21. Informatica, Talend, Pentaho, dimensional data modeling, or schema design
22. Map Reduce or MPP system
23. LAMP stack development and
24. Hadoop, HBase, or Hive
**Public Compensation:**
$216,571/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Engineer, Product Analytics
Columbus, OH jobs
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Engineer, Product Analytics Responsibilities:
1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by giving/receiving actionable feedback
**Minimum Qualifications:**
Minimum Qualifications:
12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
13. 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
14. 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
**Preferred Qualifications:**
Preferred Qualifications:
15. Master's or Ph.D degree in a STEM field
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Engineer, Analytics
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9. Influence product and cross-functional teams to identify data opportunities to drive impact.
10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
12. Telecommute from anywhere in the U.S.permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, and followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation
14. Requires five years of experience in the following:
15. 1. Features, design, and use-case scenarios across a big data ecosystem
16. 2. Custom ETL design, implementation, and maintenance
17. 3. Object-oriented programming languages
18. 4. Schema design and dimensional data modeling
19. 5. Writing SQL statements
20. 6. Analyzing data to identify deliverables, gaps, and inconsistencies
21. 7. Managing and communicating data warehouse plans to internal clients
22. 8. MapReduce or MPP system, AND
23. 9. Python
**Public Compensation:**
$218,284/year to $235,400/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Engineer, Analytics
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Conceptualize and own the data architecture for multiple large-scale projects while evaluating design and operational cost-benefit tradeoffs within systems.
2. Create and contribute to frameworks that improve the efficacy of logging data while working with data infrastructure to triage issues and resolve.
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
7. Solve our most challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
10. Influence product and cross-functional teams to identify data opportunities to drive impact.
11. Mentor team members by giving/receiving actionable feedback.
12. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
13. Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering or related field and 7 years of experience in the job offered or related occupation
14. Experience must include 7 years in the following
15. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
16. Programming in Python
17. Writing SQL statements
18. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
19. Data warehousing architecture and plans
20. Dimensional data modeling
21. Schema Design
22. Map Reduce
**Public Compensation:**
$218,062/year to $235,400/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Data Engineer, Analytics
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9. Influence product and cross-functional teams to identify data opportunities.
10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
12. Telecommute from anywhere in the U.S. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation. Requires three years of experience in the following:
14. 1.- Features, design, and use-case scenarios across a big data ecosystem
15. 2. -Custom ETL design, implementation, and maintenance
16. 3.- Object-oriented programming languages
17. 4.- Schema design and dimensional data modeling
18. 5.- Writing SQL statements
19. 6.- Analyzing data to identify deliverables, gaps, and inconsistencies
20. 7.- Managing and communicating data warehouse plans to internal clients
21. 8.- Python
**Public Compensation:**
$184,241/year to $196,900/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Software Engineer (Systems)
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer (Systems) Responsibilities:
1. Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run applications.
2. Build new features and improve existing products.
3. Work on problems of diverse scope and design core, backend software components.
4. Handle large scale data storage, synchronization and coordination of large server cluster, and provide a runtime environment for front end code.
5. Receiving little instruction on day-to-day work, code using primarily C/C++, Java, PHP and Hack.
6. Interface with other teams to incorporate their innovations and vice versa.
7. Conduct design and code reviews.
8. Analyze and improve efficiency, scalability, and stability of various system resources.
9. Complete medium to large features (each with many tasks) independently without guidance.
10. Identify and drive changes as needed for assigned codebase, product area and/or systems.
11. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Analytics, or a related field and 36 months of experience in the job offered or in a related occupation
13. Requires 36 months of experience involving the following:
14. Coding in at least one of the following industry-standard languages: C, C++, Java, or C#
15. Building large-scale infrastructure applications
16. Designing and completing medium to large software features independently without guidance
17. Owning a particular software component, feature, or system
18. Python, PHP, or Haskell
19. Relational databases and SQL
20. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
21. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
22. Core web technologies: HTML, CSS, or JavaScript
23. Building highly-scalable performant solutions
24. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
26. Distributed Systems
**Public Compensation:**
$245,588/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Software Engineer, Product
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Product Responsibilities:
1. Develop, design, create, modify, and/or test software applications or systems for various products or software services.
2. Develop a strong understanding of relevant product area, codebase, and/or systems.
3. Demonstrate proficiency in data analysis, programming, and software engineering.
4. Produce high-quality code with good test coverage using modern abstractions and frameworks.
5. May be assigned to specific group focused on product or infrastructure.
6. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
7. Exercise judgment within defined procedures and practices to determine appropriate action.
8. Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
9. Collaborate with cross-functional teams, including product managers and designers, to gather requirements and develop software solutions that meet customer needs and product goals.
10. Continuously improve software development processes, tools, and methodologies to enhance efficiency and quality of deliverables.
11. Telecommute from anywhere in the U.S. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
12. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Statistics, Physics, Applied Sciences, or a related field
13. Requires completion of a university-level course, research project, internship, or thesis in the following:
14. Coding in at least one of the following industry-standard languages: C, C++, Java, or C#
15. Building large-scale infrastructure applications
16. Creating web applications using at least one of the following: Python, PHP, or Ruby
17. Relational databases and SQL
18. Implementing web interfaces using at least one of the following: JavaScript, HTML, or CSS
19. Android Frameworks and Libraries and
20. Version control systems
**Public Compensation:**
$214,032/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Software Engineer, Product
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Product Responsibilities:
1. Develop, design, create, modify, and/or test software applications or systems for various products or software services.
2. Develop a strong understanding of relevant product area, codebase, and/or systems.
3. Demonstrate proficiency in data analysis, programming, and software engineering.
4. Produce high-quality code with good test coverage using modern abstractions and frameworks.
5. May be assigned to specific group focused on product or infrastructure.
6. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
7. Exercise judgment within defined procedures and practices to determine appropriate action.
8. Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
9. Telecommute from anywhere in the U.S.
10. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
11. Requires a Bachelor's degree in Computer Science, Computer Engineering, Engineering, Information Systems, Analytics, Mathematics, Statistics, Physics, Applied Sciences, or a related field
12. Requires completion of a university-level course, research project, internship, or thesis in the following:
13. Coding in at least one of the following industry-standard languages: C, C++, Java, or C#
14. Building large-scale infrastructure applications
15. Creating web applications using at least one of the following: Python, PHP, or Ruby
16. Relational databases and SQL and
17. Implementing web interfaces using at least one of the following: JavaScript, HTML, or CSS
**Public Compensation:**
$218,402/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Software Engineer, Infrastructure
Columbus, OH jobs
Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
**Required Skills:**
Software Engineer, Infrastructure Responsibilities:
1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2. Implement custom user interfaces using latest programming techniques and technologies
3. Develop reusable software components for interfacing with back-end platforms
4. Analyze and optimize code for quality, efficiency, and performance
5. Lead complex technical or product efforts and provide technical guidance to peers
6. Architect efficient and scalable systems that drive complex applications
7. Identify and resolve performance and scalability issues
8. Work on a variety of coding languages and technologies
9. Establish ownership of components, features, or systems with expert end-to-end understanding
**Minimum Qualifications:**
Minimum Qualifications:
10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. 6+ years of programming experience in a relevant language or 3+ years of experience + PhD
12. Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
13. Experience building maintainable and testable code bases, including API design and unit testing techniques
**Preferred Qualifications:**
Preferred Qualifications:
14. 6+ years relevant experience building large-scale infrastructure applications or similar experience
15. Experience with scripting languages such as Python, Javascript or Hack
16. Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
17. Experience owning a component, feature or system
18. Experience building and shipping high quality work and achieving high reliability
19. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
20. Exposure to architectural patterns of large scale software applications
21. Experience in programming languages such as C, C++, Java
**Public Compensation:**
$70.67/hour to $208,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Software Engineer
Columbus, OH jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer Responsibilities:
1. Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large, distributed components that run our applications.
2. Build new features and improve existing products.
3. Work on problems of moderate scope.
4. Push code, drive the development of the systems behind our products, create web applications that reach billions of people, build high volume servers, and be a part of a team to connect people around the globe.
5. Develop a strong understanding of relevant product area, codebase, and/or systems.
6. Demonstrate proficiency in data analysis, programming, and software engineering.
7. Produce high quality code with good test coverage, using modern abstractions and frameworks.
8. Receiving general instructions on routine work and detailed instructions on new projects or assignments, work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.
9. Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.
10. Actively seek and give feedback in alignment with company Performance Philosophy.
11. Work with the team to discuss new features and improvements.
12. Deliver high quality code for various projects.
13. Telecommuting from anywhere in the U.S. allowed.
**Minimum Qualifications:**
Minimum Qualifications:
14. Requires a Master's degree(or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field. Requires the completion of a university-level course/research project/internships or thesis in the following:
15. Coding in one of the following industry-standard languages: C, C++, Java, or C#
16. Python, PHP, or Haskell
17. Relational databases and SQL
18. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
19. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
20. Core web technologies: HTML, CSS, or JavaScript
21. Build highly-scalable performant solutions
22. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
23. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
24. Distributed systems
**Public Compensation:**
$169,176/year to $200,200/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.