Data Scientist - Analytics, Automation & Machine Learning St. Louis, MO
Hybrid On-site
Compensation: $55 - $67 per hour (starting at; final offer may vary based on experience, skills, and internal equity)
ABOUT THE ROLEOur Fortune 100 telecommunications client is seeking a dynamic Data Scientist specializing in analytics, automation, and machine learning to support Customer Operations and cross-functional product squads, including Device, Billing, UCM, Chat, Repair, and Mobile. As an embedded analytics partner, you will work closely with operations teams, product owners, and senior leadership to develop and maintain dashboards, reports, and Python-based automations using tools such as Python, Tableau, Splunk, and SQL. This hybrid on-site role in St. Louis focuses on translating complex business challenges into actionable data solutions, building and optimizing data pipelines, and contributing to advanced analytics and machine learning projects. You will play a key role in data mapping, dashboard and report creation, automation of executive reporting, migration of legacy workflows, and support for predictive modeling and natural language processing initiatives. The ideal candidate is a self-starter who can independently turn ambiguous business questions into practical data solutions and clearly communicate technical findings to both technical and non-technical stakeholders, including directors and VPs.
WHAT YOU'LL DO- Understand and map data from Splunk, SQL Server, Oracle (OAR), Snowflake, and Google Cloud Storage to business processes across Customer Operations.
- Write Python and SQL code to extract, transform, and load data from multiple enterprise systems into reliable, production-ready pipelines.
- Develop, maintain, and optimize Tableau dashboards and Splunk reports used by operations teams and senior leadership, ensuring quality across a large portfolio of analytics assets.
- Translate complex or ambiguous business questions into clearly scoped analytics problems, design solutions, and deliver actionable findings that support business decisions.
- Develop data validations, anomaly detection, and quality checks to ensure data populations and production pipelines remain complete and accurate.
- Automate recurring executive reporting and weekly status updates using Python, Jira REST APIs, Prefect, Windows Task Scheduler, and related tools.
- Support migration of legacy Alteryx workflows and PowerShell scripts to Python-based Prefect flows running in Docker containers.
- Contribute to predictive modeling and machine learning use cases such as agent fraud detection, Next Best Offer (NBO) targeting, operational forecasting, call listening, and reducing manual work.
- Apply statistical and machine learning techniques, including classification, regression, clustering, tree-based models, and time-series analysis, to identify trends, seasonal patterns, and anomalies in operational data.
- Support natural language processing initiatives such as sentiment analysis, intent classification, topic modeling, and embedding-based semantic search across large volumes of agent interactions.
- Help deploy and maintain analytical models through GitLab CI/CD and Prefect; monitor model performance, identify drift, and refine solutions based on production feedback.
- Build lightweight internal applications and branded HTML reports using Streamlit and Python to make insights accessible to operations teams.
- Refresh and improve existing analytics in response to stakeholder feedback, evolving business needs, and measurable operational outcomes.
- Identify data quality risks, model drift, and pipeline failures, escalating issues to the Lead Data Scientist and executive sponsor as appropriate.
- Participate in Agile ceremonies as an embedded analytics partner; create Jira tickets with clear acceptance criteria, business rationale, and timelines, and own assigned work through completion.
- Communicate analytical findings, model insights, and recommendations clearly to technical and non-technical audiences, including product owners, operations teams, and senior leaders.
- Proactively clarify requirements, take ownership of end-to-end delivery, and support special projects and other duties as needed.
WHAT YOU BRING- Hands-on experience using Python, Tableau, Splunk, and SQL to build dashboards, reports, data workflows, and automations.
- Strong SQL skills and the ability to query, interpret, and work with data from multiple enterprise systems (e.g., Snowflake, Oracle, SQL Server, Google Cloud Storage).
- Experience translating business needs into analytical solutions and independently delivering work from discovery through implementation.
- Strong communication and presentation skills, including the ability to explain technical concepts and findings to non-technical stakeholders and senior leadership.
- Analytical problem-solving skills and an understanding of data quality, validation, and reliable production reporting.
- Ability to manage assigned work, document requirements clearly, participate in Agile delivery, and collaborate with product and operations teams.
- Experience with machine learning, predictive modeling, or AI-enabled analytics (preferred).
- Exposure to natural language processing, sentiment analysis, intent classification, topic modeling, semantic search, or analysis of conversational data (preferred).
- Experience with MLOps, model deployment and monitoring, GitLab CI/CD, Prefect, Docker, or production machine learning workflows (preferred).
- Familiarity with Streamlit, Jira REST APIs, and migration of Alteryx workflows or PowerShell automation to Python-based workflows (preferred).
- Familiarity with AI and analytics tools such as Kira or Claude Cowork is a plus, but not required.
WHAT'S IN IT FOR YOU- 401(k) Matching Plan
- Medical, Dental, & Vision Plans
- Relationship-driven process to find your best fit
- 6 Paid Holidays
- Regular meetings to ensure quality in your engagement
- Competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage options
- Paid time off, sick time, and paid company holidays
- Employee Assistance Program (EAP) with virtual counseling, financial services, legal services, and life coaching
HOW TO APPLYPlease submit your resume through the official application channel. A brief summary of relevant experience with Python, Tableau, Splunk, SQL, automation, and stakeholder communication is encouraged.
ABOUT USAt Brooksource, relationships are the foundation of everything we do. Since 2000, we've built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement. As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. Our customized solutions align talent and technology capabilities with each client's goals, culture, and technology stack.
EEO STATEMENTBrooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
BENEFITS & PERKSBrooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401(k) plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, and life coaching.
PAY DISCLAIMERThe pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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