Advanced Data Scientist developing in - house and third - party analytical systems at Honeywell. Leverage AI - ML models and data mining techniques to enhance security insights.
About the role
- Sr Associate Data Scientist contributing to machine learning model development at McKesson. Collaborating across teams to leverage data-driven solutions within the healthcare sector.
Responsibilities
- Build, train, evaluate, and optimize machine‑learning models using Spark MLlib, Python, and cloud‑based toolchains
- Perform exploratory data analysis (EDA), statistical profiling, and feature engineering on large-scale datasets hosted in Databricks
- Implement and manage MLflow experiment tracking, model registry, versioning, and reproducibility workflows
- Contribute to model monitoring, performance tuning, drift detection, and continuous improvement.
- Develop notebooks, jobs, and workflows within Databricks for data preparation, model training, and batch/streaming inference
- Build reusable, production‑grade feature pipelines in PySpark and SQL
- Partner with Data Engineering, Analytics, Product, and SMEs to translate business problems into data‑driven solutions.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Analytics, Math, Statistics, Engineering, or related field, or related experience
- Typically requires 2+ years of experience in applied ML, data science, or advanced analytics
- Hands-on experience with Python, PySpark, SQL, and Git-based workflows
- Practical exposure to cloud-based ML environments (preferably Databricks)
- Understanding of ML techniques such as regression, classification, clustering, time-series forecasting, and embeddings
- Ability to work with large, complex datasets.
Benefits
- Competitive compensation package
- Annual bonus opportunities
- Flexible work arrangements
- Professional development initiatives
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Head of Analytics leading strategies for Customer Care and Shipping Analytics at Back Market. Focused on elevating customer satisfaction and operational efficiency through data - driven insights.
Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
Senior Data Scientist focusing on ML systems for Walmart's Trust and Safety. Collaborating on compliance models and overseeing the full model lifecycle.
Head of Data leading development and execution of data strategy at Verity. Mentoring a team to deliver insights and drive business growth while collaborating with multiple departments.
Senior Data Scientist responsible for credit modeling at Clair, utilizing machine learning to assess risk and optimize decisions. Collaborating with cross - functional teams and deploying models in production environments.
Senior Product Manager responsible for transforming user needs into scalable products for Seyna. Collaborating with internal teams to enhance insurance programs and streamline workflows.
Founding AI Data Scientist helping Grand build core AI and data systems for decision - making. Collaborating with teams to leverage complex data for impactful AI solutions.
Data Scientist responsible for AI model development and deployment across client projects. Building reliable AI applications ensuring client success and operational excellence.
Data Science Senior Consultant at Squarcle advising on data science and digital challenges. Collaborating with clients to enhance business efficiency and profitability through data - driven strategies.