We're looking for
Data Science Associates!
Responsibilities
- Collaborate with senior data scientists and stakeholders to achieve project objectives.
- Delegate tasks to junior data analysts or data scientists to ensure successful project completion.
- Manage project priorities, timelines, and technical constraints effectively.
- Develop, test, and select machine learning models for data science projects, making decisions on model selection and data processing methods.
- Analyze large datasets to extract actionable insights and support informed decision-making.
- Apply AI techniques including Time Series analysis, Computer Vision, NLP, and generative AI to generate innovative solutions.
- Build mathematical optimization models using tools like CVXPY.
- Ensure model robustness by cross-validating and testing generalizability.
- Explore and recommend new AI and data science solutions to improve team capabilities and processes.
- Document and communicate findings, results, and recommendations to both technical and non-technical audiences.
- Support MLOps practices to deploy and maintain models in production environments.
Qualifications
- Strong analytical skills and technical problem-solving ability.
- Solid experience in building code and machine learning models.
- Familiarity with NLP and Computer Vision algorithms.
- MLOps experience for deploying and maintaining models.
- Familiarity with mathematical optimization models (e.g., CVXPY).
- Proficiency in Python, SQL, AWS, Tableau, Sagemaker, and related tools.
- Project management experience to oversee data science initiatives.
- Ability to cross-validate models and ensure their generalizability.
(
*Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employer’s authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.)
Skills: data science,models,data
