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 visualizationWhat you’ll 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 beneficialMust have:3+ years of hands-on experience in data science, AI/ML.Strong understanding of machine learningHighly 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
Job Title
Data Science II