Data Scientist Lead

3 weeks ago


Bengaluru, Karnataka, India ScaleneWorks Full time

Data Science Leadership Role

In this critical position at ScaleneWorks, you will oversee the delivery of cutting-edge Data Science solutions and products that drive business impact. As a Data Scientist Lead, your key responsibilities will include:

• Model Development: Identify and implement the most suitable candidate models to address business challenges, leveraging best practices in model fit testing, tuning, and validation. Generate and compare relevant metrics to select the optimal model for each problem.

• Data Wrangling: Perform thorough data validation, wrangle data to a clean state, and deal with missing data. Collaborate with the Tech team to build data pipelines that ensure reproducibility and reusability within Client Data Fabric.

• Visualization: Design rich, data-driven visualizations to communicate complex messages effectively to business leaders. Respond to challenging questions and provide insightful solutions.

• Product Development: Oversee the delivery of tangible Data Science products, including model APIs, curated data, and web applications.

• Influence and Quality: Continuously highlight the business impact of our work, both internally and externally. Work with stakeholders to identify new opportunities for Data Science-driven decision-making. Stay up-to-date with the latest trends and best practices, ensuring that our deliverables meet production standards.

Requirements

This role requires professionals with a strong background in STEM fields, including Computer Science, Machine Learning, and Statistics. Essential skills include:

• MSc or BSc degree in a relevant field (or equivalent)

• Practical experience in delivering Data Science products and solutions

• Proficiency in R (Tidyverse) and/or Python, with expertise in data wrangling and predictive modeling (tidymodels, scikit-learn)

• Experience with git for code management and production delivery

• Understanding of predictive modeling and mathematical foundations of applied statistical, ML, and AI algorithms

• Background in Pharma R&D or related healthcare industry (preferred)


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