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Manager Senior Data Scientist Jobs (NOW HIRING)

Senior Data Scientist

San Jose, CA · On-site

$150K - $175K/yr

A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to ... Experience developing and managing quantitative credit risk models including credit decisioning ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...

SteerBridge is looking for a Senior Data Scientist to evaluate multi-dimensional aviation global ... Develop and implement data quality assurance and management protocols. * Create, maintain, and ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and our clients to form a cross-functional team driving optimization of precious healthcare resources. We ...

The Senior Data Scientist will work closely with product managers, engineers, and other stakeholders to drive data-driven decision-making and deliver insights that enhance the user experience. The ...

The Opportunity The Senior Data Scientist position works out of our Austin, TX location in the ... Manage multiple, often concurrent projects and meet expectations. * Understand medical device ...

We're an exciting seed round, Boston-based,contract management and analysis tool for technology ... This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be ...

The Sr. Data Scientist wilil play an important role in this strategic initiative. This person will ... Lead and manage the full lifecycle of data science and AI solutions, starting with the engineering ...

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Position Responsibilities • Translate risk management business requirements into well-defined ...

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Experience in MLOps and deploying/managing machine learning models. * Exceptional analytical and ...

Senior, Data Scientist

Fayetteville, AR · On-site

$90K - $180K/yr

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Experience in MLOps and deploying/managing machine learning models. * Exceptional analytical and ...

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Experience in MLOps and deploying/managing machine learning models. * Exceptional analytical and ...

The Sr. Data Scientist wilil play an important role in this strategic initiative. This person will ... Lead and manage the full lifecycle of data science and AI solutions, starting with the engineering ...

A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to ... Experience developing and managing quantitative credit risk models including credit decisioning ...

Senior Data Scientist - Decision Sciences We are looking for a Senior Data Scientist to join ... Experience in MLOps and deploying/managing machine learning models. * Exceptional analytical and ...

The Sr. Data Scientist wilil play an important role in this strategic initiative. This person will ... Lead and manage the full lifecycle of data science and AI solutions, starting with the engineering ...

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Showing results 1-20

Manager Senior Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do manager senior data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for manager senior data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Senior Data Scientist vs Data Scientist?

AspectManager Senior Data ScientistData Scientist
Required CredentialsMaster's or PhD in Data Science, Statistics, or related field; extensive experienceBachelor's or Master's in relevant field; strong technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and experimentation
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles in similar industries

The main difference is that a Manager Senior Data Scientist oversees teams and projects, while a Data Scientist primarily focuses on analyzing data and building models. The managerial role involves leadership and strategic planning, whereas the Data Scientist role emphasizes technical expertise and hands-on analysis.

What cities are hiring for Manager Senior Data Scientist jobs? Cities with the most Manager Senior Data Scientist job openings:
What are the most commonly searched types of Senior Data Scientist jobs? The most popular types of Senior Data Scientist jobs are:
What states have the most Manager Senior Data Scientist jobs? States with the most job openings for Manager Senior Data Scientist jobs include:

Senior Data Scientist

Rich Data Co

San Jose, CA • On-site

$150K - $175K/yr

Full-time

PTO

Posted 9 days ago


Job description

About RDC.AI
What started in 2016 with five people and two chairs has become a global force transforming how banks lend, grow, and protect their portfolios. RDC.AI helps business and commercial bankers know more, do more, and grow more by turning complex data into actionable intelligence. Our platform uniquely combines predictive and agentic AI to deliver transparent, explainable insights across the entire lending lifecycle from origination to monitoring. With built-in AI assistants and clear rationales for every recommendation, we empower banks across the globe to make confident decisions faster, launch innovative products, and generate tens of millions of dollars in measurable value. We're not just building AI - we're pioneering the future of intelligent banking, where every decision is explainable, every insight is actionable, and every outcome drives real impact.
Join the AI Revolution
Award-Winning Innovation
  • Winner: The Digital Banker's 2025 Global AI Innovation Awards (Best AI-Powered Platform)
  • Two-time finalist: American Chamber of Commerce Alliance Awards (Advanced Capabilities category)

Cutting-Edge Technology
  • Building agentic AI solutions that solve real world banking problems
  • We are live in major banks, making millions of decisions, generating tens of millions in value
  • Highest security accreditations: SOC2 Type 2 and ISO 27001 certified

5-Star Employer Experience
  • Named "Best Companies to Work For" by HRD Australia (2023)
  • High-performance teams working alongside industry-leading data scientists and credit experts
  • Vibrant, innovative culture that celebrates wins and solves complex problems together

Global Impact & Growth
  • Fast-expanding presence across Australia, New Zealand, and North America
  • Helping drive financial inclusion through fair, accessible, sustainable credit
  • Opportunity to gain AI expertise and international experience in a rapidly growing market

Work-Life Excellence
  • Flexible working arrangements - work how's right for you
  • Collaborative, agile environment where your contributions matter
  • Be part of a mission that's transforming financial services globally

RDC.AI North America offers:
  • Competitive benefits package (80% of premiums paid by RDC.ai)
  • 12 paid holidays
  • 20 days PTO per year + 5 paid personal or sick days per year
  • Paid Maternity/Paternity leave

Ready to shape the future of intelligent banking? Join us.
About the Role
RDC.AI is a cloud native AI Decisioning company and the Data Science function is key to our organizational success. As we look to expand in North America, we are looking for a Senior Data Scientist to join our North America team. A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities will include:
  • Design, present & document AI-based initiatives to our clients, typically banking and risk executives.
  • Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs.
  • Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform.
  • Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America
  • Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space.

About the Candidate
Essential-Experience/Skills
  • Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
  • 5+ years of data science experience, ideally in credit risk or financial services.
  • Experience developing and managing quantitative credit risk models including credit decisioning models.
  • Programming experience in Python for 3+ years.
  • Programming in SQL for 1+ years.
  • Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking.
  • Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.)
  • Experience presenting to technical, and non-technical stakeholders, including senior leadership.
  • Excellent communication and client engagement skills.
  • Ability to travel within North America (estimated 25% travel).

Desired-Experience/Skills
  • Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
  • Experience with commercial and/or business lending.
  • Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data.
  • Understanding the decision-making process behind the lending process.
  • Experience in credit risk analysis, strategy design, and monitoring.
  • Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.)