ProcDNA - Data Scientist

Job Description : 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 200 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. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For : A data science expert with expertise in designing and developing AI/ML solutions. What We Are Looking For : - 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. - Lead data mining and collection procedures. - Design Machine learning systems. - Research and Implement appropriate ML algorithms and tools. - Run ML tests and experiments. - Perform statistical analysis and fine-tuning using test results. - Collaborate with cross-functional teams to understand business needs and translate them into solutions. - Contribute to data science projects, including data cleaning, feature engineering, model development, and deployment. - Collaborate in building internal offerings to help client/company grow on aspects beyond project/client work. Must Have : - 4 years of hands-on experience in data science, AI/ML. -Strong understanding of machine learning. - Proficiency in languages such as Python or R is essential. - Knowledge of SQL for database querying is also beneficial. - Advanced skills in using libraries like Pandas, NumPy, and sci-kit-learn for data manipulation and analysis and using libraries like Matplotlib, Seaborn, etc. for data visualization. - 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 statistical skills for hypothesis testing, experimentation, and A/B testing. - Good organization and planning skills in implementing NLP, and AI/ML solutions. - Experience in guiding and leading a small team of budding data scientists. - Strong communication and collaboration skills with the ability to articulate results and issues to internal and client teams. - Highly motivated with a proven ability to work creatively and analytically in a problem-solving environment with minimal direction. - Experience with Lifesciences datasets is preferred. Skills : Machine Learning, Algorithms, Neuro-linguistic Programming (NLP) (ref:hirist.tech)

Location: India, IN

Posted Date: 10/9/2024