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META
Columbus, OH, 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: METAHuntington National Bank
Columbus, OH, United States
Description Summary: Our Enterprise Data and Analytics team is growing, and we're looking for an outstanding Senior Data Scientist to join our team. At Huntington, you will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve. Our goal is to
Job Source: Huntington National BankCitizens
Columbus, OH, United States
Description There’s no better time to be a Citizen! We are growing and looking to add to our Marketing Optimization team. We are seeking a strategic and motivated marketing analytics consultant to drive customer engagement and deepen relationships in partnership with our Checking and Deposits Customer Growth Marketing team. This role is crucial i
Job Source: CitizensHuntington National Bank
Columbus, OH, United States
Description Summary: Our Enterprise Data and Analytics team is growing, and we're looking for an outstanding Senior Data Scientist to join our team. At Huntington, you will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve. Our goal is to
Job Source: Huntington National BankVaco
Columbus, OH, United States
Data Scientist Newark, OH (3 days onsite, two days remote. Onsite Monday-Wednesday, remote Thursday and Friday) 3-month contract-to-hire RESPONSIBILITIES Work Arrangement: 3 days a week on-site in Newark, Ohio & 2 days remote Collect data by analyzing business results or establishing and monitoring new studies Transfers data into a format more
Job Source: VacoCOGNIZANT TECHNOLOGY SOLUTIONS US CORP.
Powell, OH, United States
Data Scientist Qualification: Bachelors in science , engineering or equivalent Responsibility: Project Planning and Setup: Understand the project scope, identify activities/ tasks, task level estimates, schedule, dependencies, risks and provide inputs to Module Lead for review. Provide inputs to testing strategy, configuration, deployment, hardware
Job Source: COGNIZANT TECHNOLOGY SOLUTIONS US CORP.Sutter Health
Columbus, OH, United States
Organization: SHSO-Sutter Health System Office-Valley Position Overview: Provides support in making strategic data-related decisions by analyzing, manipulating, tracking, internally managing and reporting data from diverse internal and external sources. Requires collaboration with cross-functional teams to perform exploration and experimentation,
Job Source: Sutter HealthVertiv
Westerville, OH, United States
Job Summary As Data Scientist you will analyze large amounts of raw information/data to find patterns, convert unstructured data into structured data and build models that will help us to extract valuable business insights and analyze trends to help our business to make better decisions. This role will also require understanding of the end to end b
Job Source: VertivColumbus, OH, 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 Columbus, OH, United States
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