Lead Data Scientist

Leadership and Team Management:

• Lead and mentor the existing data science engineers, fostering skill development and

collaboration.

• Provide technical guidance, code reviews, and ensure best practices in model

development and deployment.

Model Development and Innovation:

• Design and build machine learning models for tasks like NLP, recommendation

systems, customer segmentation, and predictive analytics.

• Research and implement state-of-the-art ML/AI techniques to solve real-world

problems.

• Ensure models are scalable, reliable, and optimized for performance in production

environments. We operate in AWS and GCP, so its mandatory that you have previous

experience in setting up the MLOps workflow in either of the cloud service provider.

Business Alignment:

• Collaborate with cross-functional teams (engineering, product, marketing, etc.) to

identify opportunities where AI/ML can drive value.

• Translate business problems into data science solutions and communicate findings to

stakeholders effectively.

• Drive data-driven decision-making to improve user engagement, conversions, and

campaign outcomes.Technology and Tools:

• Work with large-scale datasets, ensuring data quality and scalability of solutions.

• Leverage cloud platforms like AWS, GCP for model training and deployment.

• Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark

for development.

• With so much innovation happening around Gen AI and LLMs, we prefer folks who

have already exposed themselves to this exciting opportunity via AWS Bedrock or

Google Vertex.

Qualifications:

Education:

• Masters or PhD in Computer Science, Data Science, Mathematics, or a related field.

Experience:

• With an industry experience of more than 8 years with 5+ years of experience in data

science, and at least 2 years in a leadership role managing a strong technical team.

• Proven expertise in machine learning, deep learning, NLP, and recommendation

systems.

• Hands-on experience deploying ML models in production at scale.

• Experience in Martech or working on customer-facing AI solutions is a plus.

Technical Skills:

• Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.

• Strong understanding of statistical methods, predictive modeling, and algorithm design.

• Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).

Soft Skills:

• Excellent communication skills to present complex ideas to both technical and non

technical stakeholders.

• Strong problem-solving mindset and the ability to think strategically.

• A passion for innovation and staying up-to-date with the latest trends in AI/ML.

Why Join Us:

• Opportunity to work on cutting-edge AI/ML projects impacting millions of users.

• Be part of a collaborative, innovation-driven team in a fast-growing Martech company.

• Competitive salary, benefits, and a culture that values learning and growth.