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

Skills: machine learning,data science,algorithms