Data Scientist with Python-Remote
David Miller
Role: Data Scientist with Python
Location: Remote
Duration: Long Term
Visa: Any – OPT is also fine
Position Overview
We are seeking a highly skilled and hands-on Data Scientist with strong Python
expertise to support ongoing analytics, automation, and modeling initiatives.
The ideal candidate is someone who enjoys solving complex problems using data,
building scalable analytical solutions, and supporting business decision-making
with meaningful insights.
This is a part-time contract role to begin (20–30 hours/week), with the strong
possibility of transitioning into a long-term engagement based on performance
and project pipeline.
Key Responsibilities
Develop robust analytical models, machine learning pipelines, and data-driven
insights.
Write clean, scalable, and production-quality Python code.
Analyze large datasets using statistical techniques, ML frameworks, and
predictive analytics.
Build, enhance, and validate ML models for forecasting, classification, and
optimization.
Automate workflows, reporting, and data processing scripts.
Extract, clean, transform, and manipulate data from multiple systems and
formats.
Present findings clearly to technical and non-technical stakeholders.
Collaborate with engineering, operations, and business teams for ongoing
project alignment.
Required Skills & Experience
3+ years of proven hands-on experience as a Data Scientist or Machine Learning
Engineer.
Expert-level proficiency in Python, including:
Pandas, NumPy
Scikit-Learn
Matplotlib / Seaborn / Plotly
Jupyter Notebook
Strong understanding of:
Statistical modeling
Predictive analytics
Machine learning algorithms (classification, regression, clustering, NLP, etc.)
Experience working with SQL, relational databases, and ETL workflows.
Solid understanding of version control (Git/GitHub).
Preferred Skills (Nice to Have)
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with AI/LLMs, data stitching, and automation frameworks.
Exposure to tools such as:
Databricks
Snowflake
Apache Airflow
Experience deploying or operationalizing models in production environments.