Applied Analytics Engineer

We are seeking a Senior Data Scientist / Machine Learning Engineer to design and deliver advanced analytics and machine learning solutions that drive data-informed decision making. This role is ideal for a highly analytical professional who enjoys working with large datasets, building predictive models, and developing scalable data pipelines in modern cloud and big data environments.

You will collaborate with cross-functional teams to transform complex data into actionable insights, build robust machine learning models, and implement scalable solutions that support enterprise analytics and AI initiatives. The ideal candidate brings strong expertise in Python, SQL, big data frameworks, and predictive modeling, along with a passion for solving real-world business problems through data.

Key Responsibilities:

Machine Learning & Advanced Analytics

• Design, develop, and validate machine learning and statistical models including regression, classification, clustering, and ensemble techniques for predictive and prescriptive analytics.
• Apply advanced data science methodologies to uncover insights, identify trends, and solve complex business challenges.
• Conduct data exploration, hypothesis testing, and experimental design using scientific methods and statistical analysis.
• Develop and deploy models that process both structured and unstructured data to support enterprise decision-making.
• Apply natural language processing (NLP) and text mining techniques where applicable.

Data Engineering & Pipeline Development

• Design and maintain scalable data pipelines to ingest, process, and transform large datasets from multiple data sources.
• Develop automated workflows for data collection, ingestion, and transformation across enterprise systems.
• Build data solutions using Python, SQL, PySpark, and distributed computing frameworks such as Apache Spark.
• Perform data preprocessing, cleansing, and feature engineering to ensure high-quality inputs for machine learning models.
• Apply data architecture and data engineering best practices to support scalable analytics platforms.
• Design dimensional data models that ensure consistency and reliability across enterprise data systems.

Collaboration & Innovation

• Partner with cross-functional stakeholders including data engineers, analysts, and business teams to deliver data-driven insights.
• Contribute to the development of enterprise analytics solutions and AI-driven applications.
• Support special projects and contribute to team initiatives that advance the organization’s data and analytics capabilities.

Required Skills/Education:

• 5 years of experience in a data science, machine learning, or advanced analytics role.
• Strong programming experience with Python (including PySpark, NumPy, Pandas, and Scikit-learn) and SQL.
• Demonstrated experience with data exploration, data cleaning, feature engineering, and data visualization.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Hands-on experience with big data processing frameworks such as Apache Spark or similar distributed computing environments.
• Proven experience developing predictive models, statistical analyses, and analytics solutions using large datasets.
• Experience working with both structured and unstructured data sources.
• Experience contributing to the development of complex data-driven solutions or analytics platforms.
• Familiarity with data visualization tools such as Tableau or similar BI platforms.

Preferred Qualifications:

• Experience with MLOps practices, including model deployment, monitoring, and lifecycle management.
• Experience with Git version control, CI/CD pipelines, and automated testing (unit, integration, and end-to-end testing).
• Hands-on experience with Snowflake, JIRA, or ServiceNow.
• Experience designing AI-powered solutions using Large Language Models (LLMs) and frameworks such as LangChain or agent-based architectures.
• Understanding of project management methodologies and agile delivery practices.

About Seneca Resources:

At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.