Data Science Manager

Kaizen Analytix; Dallas (TX); Remote; USD 80,000 - 130,000; Full time

Job summary

An innovative analytics services company is seeking a Data Science Manager to lead a client-focused team in forecast analysis and model development. This role offers a unique opportunity to engage in hands-on work while presenting complex data solutions to business stakeholders. With a commitment of 40 hours per week for 4-5 months, this position allows for significant impact in an agile work environment. Ideal candidates will possess a strong educational background in applied mathematics and relevant experience, making this a perfect role for those looking to advance their career in data science.

Qualifications

• PhD or Master's in a relevant field with significant professional experience.
• Expertise in statistical and data analysis required.

Responsibilities

• Lead a team in forecast analysis and enhancements.
• Hands-on model development and complex problem presentation.

Skills

Statistical Analysis

Data Analysis

Python

SQL

Presentation Skills

Education

PhD in Operations Research

Master’s in Data Science

Tools

Databricks

Jira

Job description

Position - Data Science Manager

Location - Remote

Job Type - Contractor

Kaizen Analytix LLC is an analytics services company seeking a qualified Data Science Contractor. Responsibilities and job requirements are below. This role requires an estimated 40 hours/week commitment for 4-5 months with a possible extension.

Responsibilities:

• Lead a small client team in distribution-driven forecast analysis and enhancements
• Ability to step in and be hands-on in model development
• Comfortable presenting to the business and explain complex data science problems
• Be part of an agile (Jira) work environment

Job Requirements:

Education and Experience:

PhD in Operations Research, Industrial Engineering, Econometrics, Artificial Intelligence, or other applied mathematical discipline with at least 4 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 6 years of relevant professional experience

• Expertise in statistical and data analysis
• Experienced in Python and SQL
• Excellent written, verbal skills
• Experience with Databricks is a plus