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Associate Data Science R Jobs in Ohio (NOW HIRING)

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

Identify potential applications fro data science techniques * Assist management in setting ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Identify potential applications fro data science techniques * Assist management in setting ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Familiarity with R for data science or analytics research. * Experience writing or interpreting ML/AI whitepapers or applied research. * Exposure to big data pipelines and distributed compute ...

... SQL, R, and other analytical tools. • Apply forecasting, predictive modeling, clustering, and ... Required : • Bachelor's degree in a STEM discipline, Business Analytics, Statistics, Data Science ...

... science, or a related analytical role. * Microsoft Certified Power BI Data Analyst Associate ... Experience with statistical programming languages such as R or Python. * Experience developing ...

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Associate Data Science R information

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist or an associate data science R. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming in R or Python, understanding statistics, and completing certifications or courses. Employers value skills and experience over age, and continuous learning can help you succeed in the field regardless of when you start.

What can I do with an associate's degree in data science?

An associate's degree in data science prepares individuals for entry-level roles such as data analyst, data technician, or junior data scientist. These positions involve working with data collection, cleaning, basic analysis, and using tools like Excel, SQL, or Python. Additional certifications and hands-on experience can enhance job prospects in this field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to focus on the most impactful variables or tasks to improve model performance efficiently.

What jobs can I get with R?

With R skills, you can pursue roles such as data analyst, data scientist, statistical programmer, or research analyst. These positions typically require proficiency in data manipulation, statistical modeling, and visualization, often using R packages like ggplot2, dplyr, and caret, and may involve working in industries like finance, healthcare, or technology.
What job categories do people searching Associate Data Science R jobs in Ohio look for? The top searched job categories for Associate Data Science R jobs in Ohio are:
What cities in Ohio are hiring for Associate Data Science R jobs? Cities in Ohio with the most Associate Data Science R job openings:
Data Science Senior Associate - Consumer Bank Marketing Analytics

Data Science Senior Associate - Consumer Bank Marketing Analytics

JP Morgan Chase

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 9 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join a talented and diverse group of analysts driving strategy and innovation across Chase Consumer Bank using data-driven approaches. You will help shape how we measure impact, learn quickly, and optimize investment by translating complex data into clear, actionable insights.

As a Data Science Senior Associate at JPMorganChase within Consumer Bank Marketing Analytics, you will own measurement and testing for Chase First Banking marketing campaigns. You will partner closely with stakeholders to design experiments, evaluate performance, and deliver recommendations that strengthen long-term customer relationships and improve retention-while contributing to an inclusive and collaborative team culture.

Job responsibilities

  • Lead analytics strategy, planning, and execution for Chase First Banking marketing campaigns
  • Deliver regular campaign performance measurement and reporting
  • Conduct unstructured, ad hoc analyses of customer behavior and engagement
  • Execute A/B and incrementality test readouts, including interpretation and recommendations
  • Perform profitability, optimization, and return-on-investment analyses to inform investment decisions
  • Consult on experimental design and data collection, developing new measurement approaches with stakeholders and partner teams
  • Translate results into clear narratives and present insights to stakeholders and senior management
  • Contribute to innovation initiatives that advance analytics methods and scalability
  • Collaborate across Marketing Analytics and Test Design teams while supporting an inclusive team environment
  • Maintain a rigorous controls environment to ensure accurate, timely, and reproducible results

Required qualifications, capabilities and skills

  • Bachelor's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
  • 3+ years of experience applying statistical methods to real-world business problems
  • 3+ years of experience using SQL and at least one of the following: SAS, Python, or R
  • Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
  • Experience using data visualization techniques for analysis and stakeholder-ready storytelling
  • Hands-on experience with A/B and incrementality testing methodologies, including experimental design, significance evaluation, and translating results into business recommendations
  • Experience with web analytics tools (e.g., Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
  • Strong written and verbal communication and presentation skills, with experience communicating effectively across levels and partner groups
  • Master's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)

Preferred qualifications, capabilities and skills

  • Intellectual curiosity and motivation to build deep subject matter expertise in a focus area
  • Strategic thinking with an ability to stay anchored to measurable business goals
  • Strong organization skills with the ability to prioritize multiple workstreams effectively
  • Strong relationship-building skills and comfort partnering with key stakeholders
  • Tableau preferred.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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