Data Scientist
$45 - $65 per hourKellyMitchell Group
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
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.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
[142813]
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
- 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)
- A baseline knowledge or exposure to Generative AI is a massive plus due to current company initiatives, but it is not mandatory
- Location: St. Louis, Missouri
- Hybrid 3 days a week in office
- 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
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.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
[142813]
Vacancy posted 2 days ago
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