Senior Data Scientist - Advanced Analytics (Remote)

Position: Senior Data Scientist Advanced Analytics



Location: On site or remote



Employment Type: Ongoing contract



Compensation: Commensurate with experience

FocusPoint Recruiting on behalf of a confidential client

FocusPoint is partnering with a confidential enterprise client seeking a Senior Data Scientist to lead hands-on development of machine learning and advanced analytics solutions that improve operational performance, reliability, efficiency, and decision-making across complex industrial environments.

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.

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.

• 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

• Communicate insights clearly to both technical and non-technical audiences

• 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

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

The ideal candidate excels in environments where they can:

• 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.