Lead Data Scientist
We are seeking a skilled Lead Data Scientist to join our internal projects team and support our ongoing projects.
This person will play a crucial role in analyzing and interpreting complex data from our various clients, discovering valuable insights that contribute to product development and improvement.
Key Responsibilities:
* Design and Oversee ETL Pipelines: Lead the design, implementation, and optimization of Extract, Transform, Load (ETL) processes for efficient and accurate data flow from various sources to analytical platforms.
* Data Analysis and Modeling: Conduct advanced data analysis and develop predictive and prescriptive models using Python, leveraging libraries like pandas, NumPy, scikit-learn, and TensorFlow.
* Database Management and Querying: Design and manage relational databases, write and optimize SQL queries for data extraction and transformation, ensuring database integrity and performance.
* Data Visualization and Reporting: Create interactive dashboards and insightful visualizations using Power BI to communicate findings and support data-driven decision-making across the organization.
* Project Management and Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and stakeholders, to align data analytics projects with organizational goals and ensure timely delivery.
* Mentoring and Skill Development: Provide technical guidance and mentorship to junior data scientists, fostering skill development in Python, SQL, ETL processes, and analytics best practices.
* Continuous Improvement: Identify opportunities to enhance analytics workflows, tools, and strategies to improve data accessibility, analysis, and overall business impact.
Qualifications:
* Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
* Minimum of 5 years of hands-on experience in data analytics, machine learning, or similar roles. Experience in Medical Device or Pharmaceutical industry a plus.
* Minimum of 2 years experience in team leadership or management roles required.
* Proven expertise in designing, implementing, and optimizing ETL pipelines for data integration and transformation across diverse data sources.
* Strong programming skills in Python, including experience with libraries such as pandas, NumPy, scikit-learn, and TensorFlow for data analysis and machine learning.
* Demonstrated ability to write and optimize complex SQL queries, manage relational databases, and ensure data quality and integrity.
* Hands-on experience creating interactive dashboards and visualizations in Power BI to translate data insights into actionable business decisions.
* A solid track record in designing and deploying predictive and prescriptive models to solve real-world business challenges.
* Experience leading and mentoring data teams, fostering a collaborative environment, and guiding junior data scientists in technical skill development.
* Strong project management capabilities, with excellent communication skills to collaborate with cross-functional teams and effectively present findings to stakeholders.