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Intelliswift Software
San Francisco, CA, United States
Title - Product Analytics/Scientist Location - San Francisco, CA hybrid Duration - 12 Months Pay rate - $104.23 per hour on W2 Drive analysis on various projects for Adobe Express to improve the experience of our users. Own data analysis, visualization and communicate the outcomes/insights to various stakeholders to aid strategic decisions. Iden
Job Source: Intelliswift SoftwareHandshake
San Francisco, CA, United States
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply. Handshake is committed to providi
Job Source: HandshakeOBSERVE, LLC
San Mateo, CA, United States
About Us: Observe is a SaaS Observability product that enables businesses to investigate modern distributed applications 10x faster. Observe ingests anything with a timestamp (e.g. system and application logs, metrics, and traces), and then structures that data so that it is correlated and easy to navigate. We enable engineers to spend more time
Job Source: OBSERVE, LLCMoney Fit by DRS
San Francisco, CA, United States
Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply. Handshake is committed to providin
Job Source: Money Fit by DRSLadder
Palo Alto, CA, United States
About Ladder We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with salesy agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families.
Job Source: LadderLadder
Palo Alto, CA, United States
Ladder We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So,
Job Source: LadderClassDojo
San Francisco, CA, United States
ClassDojo's goal is to give every child on Earth an education they love. We started by building a powerful network for communication. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families globally. Teachers use it to share what’s happening throughout the day through photos, videos, and messages that m
Job Source: ClassDojoZeplin
San Francisco, CA, United States
[Full Time] Senior Data Scientist, Product Analytics at Zeplin (United States) | BEAMSTART Jobs Senior Data Scientist, Product Analytics Zeplin United States Date Posted 02 Sep, 2022 Work Location San Francisco, United States Salary Offered Not Specified Job Type Full Time Experience Required No experience required Remote Work Yes Stock Optio
Job Source: ZeplinBurlingame, CA, 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:
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.)
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications:
Preferred Qualifications:
Masters or Ph.D. Degree in a quantitative field.
Public Compensation:
$109,000/year to $171,000/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 Burlingame, CA, United States
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