Senior Data Scientist - Advanced Analytics (Remote)

FOCUSPOINT, LLC
Brentwood, TN, United States
9 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Azure Continuous Integration Data Discovery Information Engineering Github Monitoring of Systems Supervisory Control and Data Acquisition (SCADA) Python (Programming Language) Machine Learning NumPy Operational Data Store Power BI
+18 more
Tensorflow SciPy Management of Software Versions Enterprise Data Management Feature Engineering Data Ingestion Pytorch Apache Spark Pandas Matplotlib Data Lakes Pyspark Scikit Learn Statistics Packages Xgboost Plotly Api Design Databricks

Job description

This role is ideal for a senior practitioner who thrives in real-world settings, works independently across the full analytics lifecycle, and knows how to turn imperfect operational data into models that deliver measurable business value. Position Summary The Senior Data Scientist will collaborate with engineering, operations, and business teams to identify high-impact analytical opportunities, explore data, build predictive models, and deliver insights that drive meaningful outcomes. This position is focused on hands-on analytics, experimentation, and model development. It does not involve building enterprise ingestion pipelines or managing a team. Key Responsibilities Partner with cross-functional stakeholders to identify and prioritize high-value analytical problems Translate operational challenges into predictive, statistical, or optimization models Perform data discovery, exploratory analysis, cleansing, transformation, and feature engineering Build, validate, and refine machine learning models using large, complex datasets Collaborate with Data Engineering teams to productionize validated models Monitor model performance, detect drift, and support retraining cycles, Work directly with operators, engineers, and business leaders Move quickly from exploration to modeling to deployment Build models that solve real operational problems Communicate clearly and drive measurable outcomes Thrive in ambiguity and imperfect data conditions Why Work with FocusPoint As a trusted staffing partner to industry-leading companies, FocusPoint provides access to roles that align with your professional goals, and we advocate for your success throughout the recruitment process. Our team understands appropriate skillsets and takes a consultative approach ensuring that each match is grounded in both experience and fit. How to Apply To ensure confidentiality and alignment with our client’s hiring process, all applications must be submitted through FocusPoint. Please do not attempt to contact the client directly. Interested candidates should reach out to FocusPoint’s recruitment team with any questions. About FocusPoint: FocusPoint specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.

Requirements

Communicate insights clearly to both technical and non-technical audiences Required Experience 7+ years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics Experience applying ML and statistical techniques within industrial, engineering, manufacturing, or operational environments Proven ability to deploy models that deliver measurable business outcomes Strong capability to work independently with incomplete or imperfect datasets Experience partnering with Data Engineering teams to scale analytical solutions Hands-on experience with operational, sensor, process, maintenance, supply chain, or other complex enterprise datasets Technical Skills Tools & Platforms Azure (Data Factory, Synapse, Data Lake, ML), Databricks, Spark/PySpark Python: Pandas, NumPy, SciPy, Scikit-Learn, Statsmodels Machine learning frameworks: XGBoost, LightGBM, TensorFlow, PyTorch Time-series forecasting, optimization, simulation modeling Power BI, Plotly, Matplotlib, Seaborn Git/GitHub, CI/CD, model monitoring, versioning, API development Industrial & Enterprise Data Experience with historian systems, SCADA/DCS platforms, IoT telemetry, reliability systems, or enterprise operational data sources Experience with ERP or asset management data Ideal Candidate Profile

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