Data Scientist

KellyMitchell Group; St. Louis (MO); Hybrid; USD 94,000 - 135,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

ESOP Profit Sharing

401K

Job summary

KellyMitchell Group's client, a leading Utilities provider, seeks a mid-to-senior Data Scientist to translate business problems into machine-learning solutions within a Databricks/Python environment. This role sits in a small analytics squad and emphasizes model development and actionable insights.

Location is St. Louis, Missouri, with a hybrid schedule (3 days in office). Pay ranges from $45.00 to $65.00 per hour, with benefits including health, dental, vision, ESOP, and 401(k).

Qualifications

• ML/data science knowledge; AI/GenAI experience optional
• Python mandatory; other languages not acceptable substitutes
• Databricks experience as current platform
• SQL for data exploration across ingested sources

Responsibilities

• Generates reports and datasets for end-users via system tools and queries
• Designs and programs methods to analyze structured/unstructured data for insights
• Integrates data from multiple sources to produce required elements
• Builds machine learning/AI solutions delivering measurable business value
• Translates complex business requirements into data science solutions aligned to goals

Skills

ML/Data science knowledge

Python

SQL

Generative AI awareness

Tools

Databricks

Job description

Job Summary

Our client, a leading Utilities provider, is seeking a Data Scientist to join their team. This is a mid-to-senior level, model-development-focused Data Scientist role within a small analytics squad, responsible for translating business problems into machine learning solutions within a Databricks and Python environment. This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.

Core Responsibilities

• Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts.
• May create specifications for reports based on business requests
• Designs, develops, and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement
• Analyzes and models’ data to understand complex business issues and provide insight to decision makers.
• Integrates data from multiple sources to produce requested or required data elements
• Programs and maintains reports, information dashboards, data generators, canned reports and other end-user information portals or resources
• Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets
• Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers
• Builds or defines machine learning / Artificial Intelligence (AI) solutions that create value for the business
• Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets
• Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed
• Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis
• Conducts exploratory data analysis from complex data sources and builds key data sets
• Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities
• Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization

Required Skills/Experience (Must-Haves)

• ML/data science knowledge (methodology-agnostic; AI/GenAI experience is a plus but optional)
• Python (non-negotiable - R and other languages not acceptable substitutes)
• Databricks experience (current platform)
• SQL (needed for data exploration across ingested source systems)

Preferred Skills/Experience (Nice-to-Haves)

• A baseline knowledge or exposure to Generative AI is a massive plus due to current company initiatives, but it is not mandatory

Work Environment

• Location: St. Louis, Missouri
• Hybrid 3 days a week in office

Compensation & Benefits

Pay Range: The approximate pay range for this position is between $45.00 and $65.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

About KellyMitchell

At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.