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 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)
