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On Call Machine Learning R Jobs in Texas (NOW HIRING)

Experience with Machine Learning and predictive analytics. * Experience with Scikit-learn or other Python ML libraries. * Experience with R Shiny . * Experience with cloud platforms such as AWS ...

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as Python, R, or Java, essential for ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Build, test, and validate statistical, and machine learning models and analyses using Python, R, or ... 24/7 on-call rotation. The duties and responsibilities in this posting are representative ...

Proficiency in Python, R, and SQL. Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra. Machine Learning: Knowledge of algorithms and libraries ...

Machine learning concepts * Data visualization * Proficiency in: * SQL * Python or R * Excel * Tableau / Power BI Key Responsibilities * Develop, maintain, and optimize pricing and predictive models ...

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

The role involves developing machine learning models, collaborating with various teams, and ... in Python, R, or similar statistical programming languages • Experience with techniques in ...

Strong proficiency in programming languages such as Python or R. * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Solid understanding of statistical analysis ...

Strong proficiency in programming languages such as Python or R. * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Solid understanding of statistical analysis ...

Showing results 21-40

On Call Machine Learning R information

What is the difference between On Call Machine Learning R vs Data Scientist?

AspectOn Call Machine Learning RData Scientist
Required CredentialsTypically requires proficiency in R, statistical analysis, and some machine learning knowledgeRequires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise
Work EnvironmentOften on-demand, project-based, or support roles within organizations or consulting firmsFull-time roles in various industries, involving data analysis, model development, and strategic insights
Employer & Industry UsageUsed by companies needing immediate machine learning support or troubleshootingEmployed across industries for data-driven decision making and predictive modeling

While both roles involve machine learning and R, On Call Machine Learning R focuses on providing immediate, project-specific support using R, whereas Data Scientists typically work on comprehensive data analysis and model development in a full-time capacity.

What are the most commonly searched types of Machine Learning R jobs in Texas?

The most popular types of Machine Learning R jobs in Texas are:

What cities in Texas are hiring for On Call Machine Learning R jobs?

Cities in Texas with the most On Call Machine Learning R job openings:

Senior Manager - Applied Machine Learning - Vice President

JPMorgan Chase & Co.

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 12 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks


Job description


Join a team that partners across the enterprise to solve high-impact, data-intensive problems with decision science and machine learning. You will lead work that turns ambiguous, unstructured questions into practical solutions that improve how decisions get made. This role combines hands-on technical leadership with strong stakeholder partnership to deliver measurable outcomes. If you thrive in complexity and enjoy building scalable products, you will find a strong platform to grow your impact here.
As a Senior Manager, Applied Machine Learning - Vice President at JPMorganChase within the Consumer and Community Banking (CCB) Data Science organization, you will partner with business leaders to identify and solve complex, high-impact problems using machine learning and advanced analytics. You will lead the end-to-end delivery of solutions from problem framing and experimentation through production deployment and monitoring. You will guide teams to develop scalable approaches that support faster, more informed decision-making across enterprise functions. You will influence prioritization, timelines, and delivery by communicating tradeoffs, results, and next steps to senior stakeholders.
Job Responsibilities
  • Define the data science vision, strategy, structure and roadmap for the organization.
  • Manage a team of highly-capable and independent sole contributors with additional potential to manage other leaders, along with mentor, coach and grow people earlier in their careers in this role.
  • Attract, develop and retain data science talent to ensure the team continues to enhance its value to the company.
  • Oversee the design and development of Machine Learning, Artificial Intelligence and Statistical models.
  • Ensure the robustness of any data science solution.
  • Develop and communicate recommendations and data science solutions in an 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 8+ years or Doctorate (PhD) with 6+ years of experience operating as a 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.
  • 5+ years of direct people leadership experience.
  • Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
  • Deep understanding of math and theory behind AI/ML algorithms, with the ability to reason about model assumptions, behavior, and limitations beyond empirical validation.
  • 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, Optimization, and Operations Research techniques applicable to business planning, resource allocation, and organizational decision-making problems.
  • 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 across diverse lines of business and enterprise functions.

This role is 5 days a week full time in the office.
This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, TN and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention.
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.

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