Data Scientist

Experience: 2.00 + years

Salary: INR 111111-154320 / month (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - Dimensionless Technologies)

We are seeking a skilled Data Scientist with expertise in SQL, Python, AWS SageMaker, and Commercial Analytics to contribute to our Next Best Action program. 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 (e.g., recommendation engines, propensity models) using Python and AWS SageMaker to drive next-best-action decisions.
• Data Pipeline Design: Develop efficient SQL queries and ETL pipelines to process large-scale commercial datasets (e.g., customer behavior, transactional data).
• Commercial Analytics: Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact NBA opportunities.
• 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.

Qualifications :

• Education: Bachelor’s/Master’s in Data Science, Computer Science, Statistics, or a related field.
• Experience: 2-5 years in data science, with a focus on commercial/customer analytics (e.g., retail, healthcare, e-commerce, or B2B sectors).

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).
• Familiarity with ML frameworks (TensorFlow/PyTorch).
• Analytical Mindset: Strong problem-solving skills with the ability to derive insights from ambiguous data.
• Communication: Ability to articulate technical concepts to business stakeholders.

Preferred Qualifications :

• AWS Certified Machine Learning Specialty or similar certifications.
• Experience with big data tools (Spark, Redshift) or ML Ops practices.
• Exposure to BI tools (Tableau/ Power BI) for dashboarding.

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!