Data Scientist
Sandpoint, ID · On-site
Responsibilities : • Design, build, and deploy production-grade machine learning models and ... product managers, business stakeholders, and engineering teams to clarify requirements, scope ...
Data Scientist
Sandpoint, ID · On-site
Responsibilities : • Design, build, and deploy production-grade machine learning models and ... product managers, business stakeholders, and engineering teams to clarify requirements, scope ...
Data Scientist
Sandpoint, ID · On-site
They are seeking a talented and driven Data Scientist to deliver end-to-end machine learning ... product managers, business stakeholders, and engineering teams to clarify requirements, scope ...
Data Scientist
Sandpoint, ID · On-site
They are seeking a talented and driven Data Scientist to deliver end-to-end machine learning ... product managers, business stakeholders, and engineering teams to clarify requirements, scope ...
AI/ML Engineer/Architect
Boise, ID · On-site
$140 - $210/hr
... management. * Drive adoption of Generative AI, Agentic AI, coding assistants, and intelligent ... Stay current on advancements in machine learning, large language models, agent frameworks, and AI ...
AI/ML Engineer/Architect
Boise, ID · On-site
$140 - $210/hr
... management. * Drive adoption of Generative AI, Agentic AI, coding assistants, and intelligent ... Stay current on advancements in machine learning, large language models, agent frameworks, and AI ...
Design, develop, and implement predictive and forecasting models, machine learning models ... financial outcomes across complex, multi-constraint problem spaces. * Analyze large and complex ...
Design, develop, and implement predictive and forecasting models, machine learning models ... financial outcomes across complex, multi-constraint problem spaces. * Analyze large and complex ...
Design, develop, and implement predictive and forecasting models, machine learning models ... financial outcomes across complex, multi-constraint problem spaces. * Analyze large and complex ...
Design, develop, and implement predictive and forecasting models, machine learning models ... financial outcomes across complex, multi-constraint problem spaces. * Analyze large and complex ...
Design, develop, and implement predictive and forecasting models, machine learning models ... financial outcomes across complex, multiconstraint problem spaces. * Analyze large and complex ...
Design, develop, and implement predictive and forecasting models, machine learning models ... financial outcomes across complex, multiconstraint problem spaces. * Analyze large and complex ...
Data Scientist
Sandpoint, ID · On-site
Design, build, and deploy production-grade machine learning models and analytical solutions that ... Collaborate with product managers, business stakeholders, and engineering teams to clarify ...
Data Scientist
Sandpoint, ID · On-site
Design, build, and deploy production-grade machine learning models and analytical solutions that ... Collaborate with product managers, business stakeholders, and engineering teams to clarify ...
Nuclear Data Scientist
Idaho Falls, ID · On-site
$79.34 - $195.29/hr
... management architectures. * High-performance computing (HPC), distributed computing, and parallel programming. * AI model evaluation, explain ability techniques, and physics-informed machine learning.
Nuclear Data Scientist
Idaho Falls, ID · On-site
$79.34 - $195.29/hr
... management architectures. * High-performance computing (HPC), distributed computing, and parallel programming. * AI model evaluation, explain ability techniques, and physics-informed machine learning.
Data Scientist
Sandpoint, ID · On-site
Design, build, and deploy production-grade machine learning models and analytical solutions that ... Collaborate with product managers, business stakeholders, and engineering teams to clarify ...
Data Scientist
Sandpoint, ID · On-site
Design, build, and deploy production-grade machine learning models and analytical solutions that ... Collaborate with product managers, business stakeholders, and engineering teams to clarify ...
Nuclear Data Scientist
Idaho Falls, ID · On-site
... management architectures. * High-performance computing (HPC), distributed computing, and parallel programming. * AI model evaluation, explain ability techniques, and physics-informed machine learning.
Nuclear Data Scientist
Idaho Falls, ID · On-site
... management architectures. * High-performance computing (HPC), distributed computing, and parallel programming. * AI model evaluation, explain ability techniques, and physics-informed machine learning.
Design, build, and deploy production-grade machine learning models and analytical solutions that ... Collaborate with product managers, business stakeholders, and engineering teams to clarify ...
Quick apply
Design, build, and deploy production-grade machine learning models and analytical solutions that ... Collaborate with product managers, business stakeholders, and engineering teams to clarify ...
Machine Operator
Jerome, ID · On-site
$18/hr
... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...
Machine Operator
Jerome, ID · On-site
$18/hr
... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...
... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...
... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...
Machine Operator
Jerome, ID · On-site
$18/hr
... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...
Machine Operator
Jerome, ID · On-site
$18/hr
... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...
Machine Operator
Jerome, ID · On-site
$18/hr
... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...
Machine Operator
Jerome, ID · On-site
$18/hr
... financial health. Specific benefits and well-being programs may vary depending on where you work ... Learning Management System that supports and enhances employee skills at all levels of the ...
Staff Data Scientist, AI for Business Functions
Boise, ID · On-site
$110 - $150/hr
Design, develop, and implement predictive and forecasting models, machine learning models ... financial outcomes across complex, multi-constraint problem spaces. Analyze large and complex ...
Staff Data Scientist, AI for Business Functions
Boise, ID · On-site
$110 - $150/hr
Design, develop, and implement predictive and forecasting models, machine learning models ... financial outcomes across complex, multi-constraint problem spaces. Analyze large and complex ...
Senior Manager, Product Costing & Manufacturing Finance
Twin Falls, ID · On-site
$100K - $136K/yr
Summary The Sr. Finance Manager is responsible for overseeing all cost accounting activities within ... Develop, maintain, and update standard costs (materials, labor, overhead, machine rates) based on ...
Senior Manager, Product Costing & Manufacturing Finance
Twin Falls, ID · On-site
$100K - $136K/yr
Summary The Sr. Finance Manager is responsible for overseeing all cost accounting activities within ... Develop, maintain, and update standard costs (materials, labor, overhead, machine rates) based on ...
Senior Manager, Product Costing & Manufacturing Finance
Twin Falls, ID · On-site
$100K - $136K/yr
Summary The Sr. Finance Manager is responsible for overseeing all cost accounting activities within ... Develop, maintain, and update standard costs (materials, labor, overhead, machine rates) based on ...
Senior Manager, Product Costing & Manufacturing Finance
Twin Falls, ID · On-site
$100K - $136K/yr
Summary The Sr. Finance Manager is responsible for overseeing all cost accounting activities within ... Develop, maintain, and update standard costs (materials, labor, overhead, machine rates) based on ...
Director , Product Management - AI Claims Platform
Boise, ID · On-site
$144 - $288/hr
Our data teams build next generation data and machine learning platforms and products in the cloud ... Shape business case and supporting budgeting, investment committee review, and finance reporting ...
Director , Product Management - AI Claims Platform
Boise, ID · On-site
$144 - $288/hr
Our data teams build next generation data and machine learning platforms and products in the cloud ... Shape business case and supporting budgeting, investment committee review, and finance reporting ...
Director , Product Management - AI Claims Platform
Boise, ID · On-site
$144.20 - $288.40/hr
Our data teams build next generation data and machine learning platforms and products in the cloud ... Shape business case and supporting budgeting, investment committee review, and finance reporting ...
Director , Product Management - AI Claims Platform
Boise, ID · On-site
$144.20 - $288.40/hr
Our data teams build next generation data and machine learning platforms and products in the cloud ... Shape business case and supporting budgeting, investment committee review, and finance reporting ...
Manager Machine Learning Finance information
What does a manager of machine learning in finance do?
A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.
How does a manager of machine learning in finance typically collaborate with cross-functional teams?
A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.
What are the key skills and qualifications needed to thrive as a manager of machine learning in finance, and why are they important?
To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.
What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?
| Aspect | Manager Machine Learning Finance | Data Scientist Finance |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysis | Bachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders in finance | Analyzes data, develops models, supports decision-making in finance teams |
| Employer & Industry Usage | Financial institutions, hedge funds, investment firms | Financial firms, banks, fintech companies |
The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.
Can manager machine learning finance be used in finance?
A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role involves skills in data science, programming, and finance, and is used to enhance decision-making processes and automate tasks within financial institutions.
What cities in Idaho are hiring for Manager Machine Learning Finance jobs?
Cities in Idaho with the most Manager Machine Learning Finance job openings:
Job description
Job Summary:
Kochava is an industry leader in the advertising ecosystem, providing tools and technologies for leading brands and publishers. They are looking for a talented and driven Data Scientist to deliver end-to-end machine learning solutions and major analytical initiatives that drive business value.
Responsibilities:
• Design, build, and deploy production-grade machine learning models and analytical solutions that are robust, scalable, and maintainable by other data scientists.
• Apply a broad range of statistical methods and ML algorithms, using sound judgment on when — and when not — to use them.
• Write highly performant, well-documented, and reproducible code in Python and SQL.
• Collaborate with product managers, business stakeholders, and engineering teams to clarify requirements, scope analytical work, and deliver on project milestones.
• Make thoughtful trade-offs between model performance and interpretability, complexity and simplicity, and computational cost and accuracy.
• Identify and resolve data quality issues and analytical gaps; drive improvements to data science workflows and model reliability.
• Actively contribute to model reviews, experimental design discussions, team planning, and post-deployment performance evaluations.
• Work to find and address root causes of model performance issues, leaving systems better than you found them.
• Contribute to on-call support and take ownership of issues, driving resolutions or ensuring clear handoffs.
• Automate manual reporting tasks and contribute to operational excellence across the team.
• Mentor junior data scientists and actively participate in the hiring and interview process.
Qualifications:
Required:
• 3+ years of hands-on Data Science experience. A formal degree is not required if you have equivalent knowledge gained from experience.
• Strong proficiency in Python for statistical programming and machine learning development.
• Expertise writing high-performance SQL queries and working with large-scale datasets.
• Solid understanding of a broad range of statistical methods and machine learning algorithms.
• Demonstrated ability to independently deliver end-to-end model development — from problem definition through production deployment.
• Ability to build solutions that are pragmatic, consider business constraints, and can be maintained and extended by others.
• Experience working with data visualization tools and communicating analytical findings clearly to non-technical stakeholders.
• Strong sense of ownership — you document your work thoroughly, validate it rigorously, and ensure quality at every step.
• Collaborative mindset with the ability to work across teams, balance competing requirements, and influence peers constructively.
Preferred:
• Experience with MLOps practices, model monitoring, or automated reporting pipelines.
• Familiarity with experimental design and A/B testing frameworks.
• Track record of improving team workflows, data documentation practices, or analytical infrastructure.
• Experience mentoring junior data scientists or contributing to onboarding and training programs.
• Experience classifying, storing, and handling data in accordance with data governance policies.
• Experience with distributed computing and big data technologies such as Apache Spark.
• Experience with data visualization tools such as Tableau.
• Experience working with cloud data warehouses such as Amazon Redshift or Google BigQuery.
• Experience working with high volume and high velocity data in a distributed environment.
Company:
Kochava is a provider of secure, real-time data solutions for mobile and connected devices. Founded in 2011, the company is headquartered in Sandpoint, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Kochava is an industry leader in the advertising ecosystem, providing tools and technologies for leading brands and publishers. They are looking for a talented and driven Data Scientist to deliver end-to-end machine learning solutions and major analytical initiatives that drive business value.
Responsibilities:
• Design, build, and deploy production-grade machine learning models and analytical solutions that are robust, scalable, and maintainable by other data scientists.
• Apply a broad range of statistical methods and ML algorithms, using sound judgment on when — and when not — to use them.
• Write highly performant, well-documented, and reproducible code in Python and SQL.
• Collaborate with product managers, business stakeholders, and engineering teams to clarify requirements, scope analytical work, and deliver on project milestones.
• Make thoughtful trade-offs between model performance and interpretability, complexity and simplicity, and computational cost and accuracy.
• Identify and resolve data quality issues and analytical gaps; drive improvements to data science workflows and model reliability.
• Actively contribute to model reviews, experimental design discussions, team planning, and post-deployment performance evaluations.
• Work to find and address root causes of model performance issues, leaving systems better than you found them.
• Contribute to on-call support and take ownership of issues, driving resolutions or ensuring clear handoffs.
• Automate manual reporting tasks and contribute to operational excellence across the team.
• Mentor junior data scientists and actively participate in the hiring and interview process.
Qualifications:
Required:
• 3+ years of hands-on Data Science experience. A formal degree is not required if you have equivalent knowledge gained from experience.
• Strong proficiency in Python for statistical programming and machine learning development.
• Expertise writing high-performance SQL queries and working with large-scale datasets.
• Solid understanding of a broad range of statistical methods and machine learning algorithms.
• Demonstrated ability to independently deliver end-to-end model development — from problem definition through production deployment.
• Ability to build solutions that are pragmatic, consider business constraints, and can be maintained and extended by others.
• Experience working with data visualization tools and communicating analytical findings clearly to non-technical stakeholders.
• Strong sense of ownership — you document your work thoroughly, validate it rigorously, and ensure quality at every step.
• Collaborative mindset with the ability to work across teams, balance competing requirements, and influence peers constructively.
Preferred:
• Experience with MLOps practices, model monitoring, or automated reporting pipelines.
• Familiarity with experimental design and A/B testing frameworks.
• Track record of improving team workflows, data documentation practices, or analytical infrastructure.
• Experience mentoring junior data scientists or contributing to onboarding and training programs.
• Experience classifying, storing, and handling data in accordance with data governance policies.
• Experience with distributed computing and big data technologies such as Apache Spark.
• Experience with data visualization tools such as Tableau.
• Experience working with cloud data warehouses such as Amazon Redshift or Google BigQuery.
• Experience working with high volume and high velocity data in a distributed environment.
Company:
Kochava is a provider of secure, real-time data solutions for mobile and connected devices. Founded in 2011, the company is headquartered in Sandpoint, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Kochava
Sourced by ZipRecruiter
Industry
Marketing
Company size
51 - 200 Employees
Headquarters location
Sandpoint, ID, US
Year founded
2011