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Commission Data Mining Jobs (NOW HIRING)

Analyze traffic data, data mining and statistical analysis * Monitor intersections with cameras and ... addition to quarterly commissions. Actual pay offered may be below or above these amounts ...

... mining, and more.","responsibilities":"Build data products (datasets, analyses, models, etc.) and ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Data Engineer

San Francisco, CA · On-site

$74K - $138K/yr

Data mining. * Illustration. * Creative thinking. * Problem Solving. * Verbal & written ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

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Celonis Data Engineer

New York, NY · On-site

$125K - $150K/yr

... Big Data and Data Mining - Good understanding of execution-oriented solutions in Celonis ... Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered ...

... modeling, data mining, and more.","responsibilities":"Build data products (feature datasets ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Data Engineer

Chicago, IL · On-site

$74K - $138K/yr

Data mining. * Illustration. * Creative thinking. * Problem Solving. * Verbal & written ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

New

... data mining, and more. ","responsibilities":"Build data products (feature datasets, analyses ... Additionally, this role might be eligible for discretionary bonuses or commission payments as well ...

Celonis Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Big Data and Data Mining - Good understanding of execution-oriented solutions in Celonis ... Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered ...

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

Apply data mining, predictive analytics, and pattern recognition techniques to space and ... KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels ...

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

Apply data mining, predictive analytics, and pattern recognition techniques to space and ... KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels ...

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... This position may also be eligible for bonus, commission, and/or equity. For positions with Remote ...

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Commission Data Mining information

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$51K

$70K

$89K

How much do commission data mining jobs pay per year?

As of Jul 10, 2026, the average yearly pay for commission data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Mining jobs? The most popular types of Data Mining jobs are:
Lead Data Scientist - Finance Technology

Lead Data Scientist - Finance Technology

J.P. Morgan

Jersey City, NJ

Full-time

Medical, Retirement

Posted 10 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join our Finance Technology team to build world-class AI/ML solutions for finance processes and drive significant business impact by tackling diverse challenges across multiple technologies and applications.

As a Lead Data Scientist in our Finance Technology team, you will play a pivotal role in building and delivering cutting-edge AI/ML solutions that enhance our finance processes. Your deep technical expertise and problem-solving skills will drive significant business impact, as you work on diverse challenges across multiple technologies and applications. Collaborate with business users and technology partners to identify and execute machine learning opportunities, while managing a global team of data scientists and engineers.

Job Responsibilities:

  • Build and train production-grade ML models on large-scale datasets to solve business use cases.
  • Utilize large-scale data processing frameworks to extract value from structured and unstructured data.
  • Apply Deep Learning models like NLP, LLM, and Gen AI for summarization, forecasting, and anomaly detection.
  • Conduct data modeling experiments, evaluate against baselines, and extract key statistical insights.
  • Create data models using best practices to ensure high data quality and reduced redundancy.
  • Stay current on industry trends and adopt the latest methodologies into existing implementations.
  • Present and market proposed solutions to senior business and technology colleagues.
  • Collaborate closely with business users to identify and execute machine learning opportunities.
  • Work with the team and other technology partners on ML Ops aspects.
  • Manage a global team of data scientists and data engineers.

Required Qualifications, Capabilities, and Skills:

  • Bachelor’s Degree or equivalent experience in Computer Science or Data Science.
  • 12+ years of experience as a data scientist.
  • Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP).
  • Experience with LLM and Gen AI.
  • Experience with Agentic workflows.
  • Proficiency in ML languages such as Python, SQL, Scala.
  • Experience with statistical techniques - i.e., data mining, data transformations, text mining, data visualization.

Preferred Qualifications, Capabilities, and Skills:

  • Familiarity with Financial Services.
  • Experience building ML models in a cloud environment.
  • Experience with Big Data Platforms such as Hadoop.
  • Outstanding written/verbal communication and presentation skills.
  • Comfort with ambiguity and proven ability to structure problems.
  • Team-oriented collaborator.

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.