Lead - Data Science

ProcDNA; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

ProcDNA is seeking a data science expert in Bengaluru, India. The role requires 4.5-6 years in data science and AI/ML, proficiency in Python or R, and strong skills in machine learning and statistical analysis. The expert will design AI/ML solutions and collaborate on projects to drive client success. Knowledge of libraries like Pandas, NumPy, scikit-learn, and visualization tools is essential. Leadership experience in guiding teams is a plus, along with a deep understanding of predictive modeling.

Qualifications

• 4.5 - 6 years of hands-on experience in data science, AI/ML.
• Solid understanding and practical experience in applying machine learning algorithms.
• Strong communication and collaboration skills.

Responsibilities

• Study and transform data science prototypes.
• Identify relevant data sources and collect datasets.
• Perform statistical analysis and fine-tuning.

Skills

Machine learning

Data science

Algorithms

Statistical analysis

Data manipulation

Data visualization

Python

R

Tools

Pandas

NumPy

scikit-learn

Matplotlib

Seaborn

TensorFlow

PyTorch

SQL

Job description

What Are We Looking For

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

What You'll Do

• 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.
• Perform statistical analysis and fine‑tuning using test results.
• Research and implement appropriate ML algorithms and tools.
• Collaborate in building internal offerings to help client/company grow on aspects beyond project/client work.
• Contribute to data science projects, including data cleaning, feature engineering, model development, and deployment.
• Run ML tests and experiments.
• Proficiency in languages such as Python or R is essential. 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 work creatively and analytically in a problem‑solving environment with minimal direction.
• 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 communication and collaboration skills with the ability to articulate results and issues to internal and client teams.
• Experience in guiding and leading a small team of budding data scientists.
• Strong statistical skills for hypothesis testing, experimentation, and A/B testing.

Skills: machine learning, data science, algorithms.