Data Science II

About ProcDNA:

ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 7 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?

What we are looking for:

A data science expert with expertise in designing and developing AI/ML solutions. Advanced skills in using libraries like Pandas, NumPy, and scikit-learn for data manipulation and analysis, and using libraries like Matplotlib, Seaborn, etc. for data visualization

What youll do:

• Study and transform data science prototypes.
• Identify relevant data sources and sets to mine for client business needs and collect large, structured, and unstructured datasets.
• Perform statistical analysis and fine-tuning using test results.
• Research and implement appropriate ML algorithms and tools.
• Collaborate in building internal offerings to help client/company grow on aspects beyond project/client work.
• Contribute to data science projects, including data cleaning, feature engineering, model development, and deployment.
• Run ML tests and experiments.
• Proficiency in languages such as Python or R is essential. Knowledge of SQL for database querying is also beneficial

Must have:

• 3+ years of hands-on experience in data science, AI/ML.
• Strong understanding of machine learning
• Highly motivated with a proven ability to work creatively and analytically in a problem-solving environment with minimal direction.
• Solid understanding and practical experience in applying machine learning algorithms for predictive modeling, classification, and clustering. Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a bonus.
• Strong communication and collaboration skills with the ability to articulate results and issues to internal and client teams.
• Experience in guiding and leading a small team of budding data scientists.
• Strong statistical skills for hypothesis testing, experimentation, and A/B testing

**Immediate Joiners / currently serving notice preferred