Supplycopia - Data Scientist - R/Python (3-5 yrs)

Key Responsibilities :

1. Data Collection and Cleaning :

- Collect and preprocess data from various sources, ensuring data quality and consistency.

- Collaborate with data engineers to build and maintain data pipelines.

2. Data Analysis and Exploration :

- Perform exploratory data analysis to identify trends and anomalies.

- Create visualizations and reports to communicate findings to non-technical stakeholders.

3. Machine Learning and Modeling :

- Develop predictive and prescriptive models using machine learning algorithms.

- Optimize models for accuracy, scalability, and performance.

- Implement model deployment strategies in collaboration with engineering teams.

4. A/B Testing :

- Design and analyze experiments to evaluate the impact of changes and improvements.

- Provide actionable insights based on A/B test results.

5. Data-driven Insights :

- Collaborate with cross-functional teams to address specific business questions and challenges.

- Translate data findings into actionable recommendations for decision-making.

6. Communication :

- Effectively communicate complex technical concepts to non-technical stakeholders.

- Present findings and insights to senior management and team members.

7. Continuous Learning :

- Stay up-to-date with the latest data science and machine learning techniques.

- Share knowledge and best practices within the team.

Qualifications :

- Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, or related field).

- Proven experience in data analysis, machine learning, and statistical modeling.

- Proficiency in programming languages such as Python or R.

- Strong knowledge of data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, sci-kit-learn).

- Experience with data visualization tools (e.g., Matplotlib, Tableau).

- Knowledge of database systems (SQL, NoSQL) and big data technologies (e.g., Hadoop, Spark) is a plus.

- Excellent problem-solving skills and the ability to work both independently and as part of a team.

- Strong communication skills and the ability to present complex information clearly and concisely.

- You have significant healthcare experience and are conversant with the providers, manufacturers, and landscape.