1

Vp International Data Science Jobs (NOW HIRING)

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable ...

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

As the SVP Data Scientist for Personal Lines (PRS), you will: * Collaborate with business partners to design end-to-end processes that solve business challenges * Lead a team of Data Engineers and ...

Senior Vice President, International Sales (International Defense Market) About Us: BlackSky is a ... BlackSky's data enables governments and businesses to see, understand and anticipate change as it ...

As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that ...

The VP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the SVP Marketing Data Science. This role will ...

As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that ...

As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that ...

Analytics to own and lead TradeStation's data science, analytics, and data product functions end to end -- and to make data TradeStation's competitive advantage. Reporting directly to the SVP of ...

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model ...

The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model ...

VP, Data Science

$235K - $336K/yr

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable ...

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

Showing results 21-40

Vp International Data Science information

See salary details

$41.5K

$142.5K

$201K

How much do vp international data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for vp international data science 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 are the most commonly searched types of International Data Science jobs? The most popular types of International Data Science jobs are:

VP of Data Science

Kaizen Analytix LLC

Atlanta, GA • On-site

Full-time

Re-posted yesterday


Job description

Original Post Date: 4/3/2026
VP of Data Science
Kaizen Analytix LLC, an analytics products and services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a VP of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities:
Coordinate multiple client analytics engagements - consisting of both custom and packaged analytics solutions by...
  • Overseeing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
  • Guiding project workstream leaders
  • Solving business problems through excellent decision-making and innovative, strategic ideas
  • Implementing solutions in either client or Kaizen environments

Capabilities for Success:
Candidate should demonstrate an ability to...
  • Understand business context of analytics solution: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
  • Coordinate teams of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements and internal projects
  • Provide thought leadership and guidance for multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization etc.
  • Present high-level insights to client teams (project leadership to executive-level) and Kaizen leadership
  • Facilitate and foster interaction between client and Kaizen teams
  • Supervise contributions to the KA proprietary solution library - KaizenValueAccelerators (KVAs) and suggest new capabilities in terms of mathematical models, solution frameworks, etc.
  • Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
  • Continously enhance working knowledge of new models and solution techniques which could be leveraged across projects, look for cross-industry applicability
  • Efficiently coordinate delivery team and client leadership (both business and technical domains) through ambiguity of business process, organization change, and detailed requirements
  • Provide industry-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
  • Support sales and business development activities for both existing and new clients
  • Participate in group leadership, provide leadership for a part of the overall group including all administrative tasks required
  • Contribute to Kaizen's knowledge capital by writing articles and presenting at industry conferences

Job Requirements:
  • Education and Experience
  • Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience, OR
  • Master's degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 9 years of relevant professional experience
  • Expertise in three or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
  • Excellent written and verbal communication and presentation skills
  • Thorough understanding of all and a minimum of 5 years of expert level experience in four or more of the following: Python, R, SAS, SQL, GLPK, CPLEX, Gurobi, MATLAB
  • Highly proficient in all Microsoft Office applications
  • Ability to structure and analyze large data sets
  • Thorough understanding of Data Visualization tools (Tableau and Power BI preferred)
  • Through understanding of Agile project management methodology
  • Ability to travel as dictated by business needs