Lead - Data Science

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

Job summary

A global consultancy firm is seeking a data science expert to design and develop AI/ML solutions in Gurugram. The role involves collaborating on internal projects, performing statistical analyses, and leading a small team of budding data scientists. Candidates should have 4.5 - 6 years of hands-on experience in data science, a strong understanding of machine learning algorithms, and proficiency in Python or R. Knowledge of deep learning frameworks like TensorFlow or PyTorch is a plus.

Qualifications

• 4.5 - 6 years of hands-on experience in data science, AI/ML.
• Strong understanding of machine learning.
• Ability to work creatively in a problem-solving environment.
• Experience in applying machine learning algorithms for predictive modeling.
• Strong communication skills to articulate results.

Responsibilities

• Study and transform data science prototypes.
• Identify relevant data sources for client needs.
• Perform statistical analysis and fine-tune test results.
• Research and implement appropriate ML algorithms.
• Collaborate on internal offerings for growth.

Skills

Data science expertise

Machine learning algorithms

Python programming

R programming

SQL

Statistical analysis

Data visualization

Team leadership

Tools

Pandas

NumPy

scikit-learn

Matplotlib

Seaborn

TensorFlow

PyTorch

Job description

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 in using 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‑tune 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.