Sr. Data Scientist

We’re seeking a skilled a Senior Data Scientist with expertise in Machine Learning (Supervised and Unsupervised Learning techniques) along with SQL, Python and AWS . You’ll design Predictive models , uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions. This role is ideal for a problem-solver passionate about turning data into strategic value.

Key Responsibilities

Model Development: Build, validate, and deploy machine learning models using Python and AWS SageMaker to drive commercial analytics use cases.

Cross-functional Collaboration: Partner with marketing, sales, and product teams to align models with business objectives and operational workflows.

Cloud Integration: Optimize model deployment on AWS, ensuring scalability, monitoring, and performance tuning.

Insight Communication: Translate technical outcomes into actionable recommendations for non-technical stakeholders through visualizations and presentations.

Continuous Improvement: Stay updated on advancements in AI/ML, cloud technologies, and commercial analytics trends.

Qualifications

Education: Bachelor’s/Master’s in Data Science, Computer Science or Statistics,

Experience: 5+ years in data science, with a focus on solving traditional ML use cases for both structured and unstructured Data

Technical Skills:

Proficiency in SQL (complex queries, optimization) and Python (Pandas, NumPy, Scikit-learn).

Hands-on experience with AWS SageMaker (model training, deployment) and cloud services (S3, Lambda, EC2).

Experience with ML frameworks (XGBoost, TensorFlow/PyTorch) and A/B testing methodologies.

Preferred Qualifications

AWS Certified Machine Learning Specialty or similar certifications.

Commercial : Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact NBA opportunities.

Experience with big data tools (Spark, Redshift) or ML Ops practices.

Knowledge of NLP, reinforcement learning, or real-time recommendation systems.