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Booz Allen Hamilton
Arlington, VA, United States
As an experienced data scientist, machine learning engineer, and visualization specialist, you’re excited at the prospect of unlocking the secrets held by a data set and developing informative and compelling visualizations to communicate complex information and insight. In an increasingly connected world, massive amounts of structured and unstructu
Job Source: Booz Allen HamiltonBooz Allen Hamilton
Arlington, VA, United States
Job Number: R0198563 Analytics Data Scientist, Senior The Opportunity: As an experienced data scientist, machine learning engineer, and visualization specialist, you're excited at the prospect of unlocking the secrets held by a data set and developing informative and compelling visualizations to communicate complex information and insight. In an
Job Source: Booz Allen HamiltonTikTok
Washington, DC, United States
Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imagin
Job Source: TikTokGuidehouse
Washington, DC, United States
Job Family Data Science Consulting Travel Required None Clearance Required Active Top Secret (TS) What You Will Do Our data science consultants help clients maximize the value of their data and automate business processes. Our high performing team works with clients to implement the full spectrum of data analytics and data science, from data
Job Source: GuidehouseDice
Washington, DC, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Amtex System Inc., is seeking the following. Apply via Dice today! Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 20 years. Our solutions are designed t
Job Source: DiceMETA
Washington, DC, United States
Summary: As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company
Job Source: METAGuidehouse
Washington, DC, United States
Job Family Data Science Consulting Travel Required None Clearance Required Active Top Secret (TS) What You Will Do Our data science consultants help clients maximize the value of their data and automate business processes. Our high performing team works with clients to implement the full spectrum of data analytics and data science, from data
Job Source: GuidehouseFors Marsh Group
Arlington, VA, United States
WHO WE ARE: At Fors Marsh, we take on issues that matter. We are a team of researchers, advisors, and communicators working together to shape the systems that shape people's lives. We look at human behavior from all angles to design targeted solutions that influence decision-making and move people to action. We are committed to the problem, not ju
Job Source: Fors Marsh GroupWashington, DC, United States
Summary:
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 diverse set 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 diverse 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:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
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.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Minimum Qualifications:
Minimum Qualifications:
A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
Preferred Qualifications:
Masters 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 [email protected].
Email Alert for Data Scientist, Product Analytics jobs in Washington, DC, United States
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