Weekend Drive- Data Science

Job Description

About Us

Here, you won&apost be stuck in a cubicle - you&aposll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn&apost just encouraged, it&aposs ingrained in our DNA.

What We Are Looking For

A data science expert with expertise in designing and developing AI/ML solutions.

• Study and transform data science prototypes.
• Identify relevant data sources 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.

• 2-5 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 scikit-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.
• 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: ai/ml,algorithms,pytorch,matplotlib,seaborn,r,tensorflow,machine learning,pandas,sql,statistical analysis,scikit-learn,numpy,nlp,data science,deep learning,python