Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations ...
Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations ...
Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark ...
Quick apply
Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark ...
WFP Lead Data Scientist - Vice President
Plano, TX · On-site +1
Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations ...
WFP Lead Data Scientist - Vice President
Plano, TX · On-site +1
Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations ...
... advanced data science and big data mining techniques to uncover trends, inform strategic ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...
... advanced data science and big data mining techniques to uncover trends, inform strategic ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...
Data Scientist
Richardson, TX · On-site
$110K - $175K/yr
... Science, or a related field. * 3+ years of experience as a Data Scientist, with a consistent track record of delivering impactful results. * Strong programming skills in Python or R, with proficiency ...
Data Scientist
Richardson, TX · On-site
$110K - $175K/yr
... Science, or a related field. * 3+ years of experience as a Data Scientist, with a consistent track record of delivering impactful results. * Strong programming skills in Python or R, with proficiency ...
Data Scientist
Fort Worth, TX · On-site
... 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 ...
Data Scientist
Fort Worth, TX · On-site
... 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 ...
R equired Qualifications, Capabilities, and Skills * Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist ...
R equired Qualifications, Capabilities, and Skills * Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist ...
Data Scientist
Westlake, TX · On-site
... 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 ...
Data Scientist
Westlake, TX · On-site
... 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 ...
Data Scientist
Dallas, TX · On-site
... 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 ...
Data Scientist
Dallas, TX · On-site
... 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 ...
WFP Senior Data Scientist
Plano, TX · On-site
R equired Qualifications, Capabilities, and Skills * Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist ...
WFP Senior Data Scientist
Plano, TX · On-site
R equired Qualifications, Capabilities, and Skills * Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist ...
WFP Senior Data Scientist
Plano, TX · On-site
R equired Qualifications, Capabilities, and Skills * Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist ...
WFP Senior Data Scientist
Plano, TX · On-site
R equired Qualifications, Capabilities, and Skills * Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist ...
... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...
... R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...
Senior Data Scientist
Plano, TX · On-site
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...
Senior Data Scientist
Plano, TX · On-site
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...
Senior Data Scientist
Plano, TX · On-site
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...
Senior Data Scientist
Plano, TX · On-site
Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...
Data Scientist
Plano, TX · On-site
Required : • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM ... Tableau, and R • Model Based Systems Engineering (Cameo Enterprise Architecture (SysML ...
Data Scientist
Plano, TX · On-site
Required : • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM ... Tableau, and R • Model Based Systems Engineering (Cameo Enterprise Architecture (SysML ...
Data Scientist
Dallas, TX · On-site
Translate ambiguous business problems into structured data science statements * Organize ... Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ...
Data Scientist
Dallas, TX · On-site
Translate ambiguous business problems into structured data science statements * Organize ... Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ...
Translate ambiguous business problems into structured data science statements * Organize ... Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ...
Translate ambiguous business problems into structured data science statements * Organize ... Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ...
Translate ambiguous business problems into structured data science statements * Organize ... Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ...
Translate ambiguous business problems into structured data science statements * Organize ... Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ...
Data Science R information
See Dallas, TX salary details
$37.1K - $51.4K
2% of jobs
$51.4K - $65.7K
3% of jobs
$65.7K - $80K
6% of jobs
$80K - $94.3K
9% of jobs
$98.9K is the 25th percentile. Wages below this are outliers.
$94.3K - $108.6K
15% of jobs
The median wage is $118.1K / yr.
$108.6K - $122.9K
22% of jobs
$130.8K is the 75th percentile. Wages above this are outliers.
$122.9K - $137.2K
32% of jobs
$137.2K - $151.5K
3% of jobs
$151.5K - $165.8K
4% of jobs
$165.8K - $180.1K
1% of jobs
$180.1K - $194.4K
2% of jobs
$37.1K
$121.4K
$194.4K
How much do data science r jobs pay per year?
What is a Data Science R job?
A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.
What are the typical daily tasks for a Data Science R professional in most organizations?
In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.
What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?
To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Full-time
Medical, Retirement
Posted 7 days ago
JPMorgan Chase & Co. rating
8.1
Based on 468 frontline employees who took The Breakroom Quiz
46th of 141 rated banks
Job description
The Workforce Planning (WFP) organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP organization supports Chase's call centers, back office, and ~5,200 retail branches.
As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in projects by the Artificial Intelligence(AI)/Machine Learning(ML) team that can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business. You will typically encounter these problems which will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy. You will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery. The AI/ML team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making.
Job Responsibilities
- Design and development of Machine Learning, Artificial Intelligence and Statistical models.
- Participate in the full model development lifecycle, from framing the problem to prepare documentation and passing independent model review (MRGR).
- Lead AI/ML projects along with mentor and coach junior team members.
- Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
- Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research
- Ensure the robustness of any data science solution.
- Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
- Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.
Required Qualifications, Capabilities, and Skills
- Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
- 2+ years of experience leading AI/ML projects with multiple team members
- Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
- Deep understanding of math and theory behind AI/ML algorithms.
- Proficient in data science programming languages like Python, R or Scala.
- Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
- Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.
Preferred Qualifications, Capabilities, and Skills
- Advanced expertise with Time Series and Operations Research techniques.
- Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
- Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
- Previous experience leading highly complex cross-functional technical projects with multiple stakeholders
This position is full time in office Monday - Friday. This position is not hybrid nor remote.
About Us
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
About the Team
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.
What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
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About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US