Lead - Data Science

About ProcDNA

ProcDNA is a global consulting firm. 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 6 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. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA

What are we looking for

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

What you'll do: • Study and transform data science prototypes.​ • Identify relevant data sources and sets to minefor client business needs and collect large,structured, and unstructured datasets.​ • Perform statistical analysis and fine-tuningusing test results.​ • Research and implement appropriate MLalgorithms and tools.​ • Collaborate in building internal offerings to helpclient/company grow on aspects beyondproject/client work.​ • Contribute to data science projects, includingdata cleaning, feature engineering, model development, and deployment.​ • Run ML tests and experiments.​ • Proficiency in languages such as Python or R isessential. Knowledge of SQL for database querying is also beneficial

Must have: • 4.5 - 6 years of hands-on experience in data science, AI/ML. ​ • Strong understanding of machine learning​ • Highly motivated with a proven ability to workcreatively and analytically in a problem-solvingenvironment with minimal direction. ​ • Solid understanding and practical experience inapplying machine learning algorithms forpredictive modeling, classification, andclustering. Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a bonus.​ • Strong communication and collaboration skillswith the ability to articulate results and issues to internal and client teams.​ • Experience in guiding and leading a small teamof budding data scientists.​ • Strong statistical skills for hypothesis testing,experimentation, and A/B testing