Senior Data Scientist

1 week ago

Hyderabad, Telangana, India AALUCKS Talent Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Position : Senior Data Scientist, Hyderabad.

Department : Information Technology


Role : Full-time


Experience : 4 to 8 Years


Skillset :


- CDP Implementations

- AI/ML

- Python

- SQL

- ML Framwork

- Snowflake

- AWS/Azure/GCP

- Customer 360

- Churn Prediction

- GUI Integration

- Excellent English Communication Skills.


About the Role :


We are seeking a highly skilled Senior Data Scientist to join our digital transformation team.

The ideal candidate will have hands-on experience with model development and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies.

You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale.

This role blends analytical rigor with innovative model building and maintenance, ensuring both operational excellence and strategic customer growth.


Key Responsibilities :


Model Development :


- Design, build, and deploy machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance and other business use cases.

- Contribute to building models for various use cases such as Revenue Management System, Customer 360, etc.

- Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to business stakeholders.

- Translate model insights into actionable marketing strategies that enhance ROI and customer experience.

- Collaborate with cross-functional teams including Martech, digital, and commercial teams to operationalize models into platforms and workflows.

- Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and

business value.


Deep QA Model Validation :


- Validate existing models applying end-to-end QA checks before sign-off.

- Assess data ingestion, schema integrity, feature engineering, and label quality for business alignment.

- Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration.

- Document all findings, anomalies, and improvement opportunities.

- Support development of dashboards and reports to track validation progress, outcomes, and risks.

- Ensure every module is accurate, reliable, and business-aligned prior to deployment.


Required Qualifications :


- Masters degree in Data Science, Statistics, Computer Science, or related field.

- 4 to 6 years of experience in data science, model validation, and applied machine learning.

- Proven expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch).

- Experience with QA and drift monitoring frameworks for ML models.

- Familiarity with big data platforms and cloud ecosystems such as Databricks, Spark, Snowflake/AWS/Azure/GCP.

- Strong communication skills to convey complex insights to both technical and business stakeholders.

- Experience leading junior data scientists.

- Detail-oriented with a structured approach to QA, documentation, reporting, and dashboarding.


Additional Information :


Why Join Us?

- Work on modern data architecture at scale using cutting-edge Azure technologies.

- Collaborate with a dynamic and talented team of data professionals.

- Grow your leadership skills through hands-on project ownership and mentorship.

- Competitive compensation, flexible work options, and continuous learning culture.


Interview Rounds :


- 2 Technical rounds (virtual) Compensation Discussion.

- This is 5-days/week Work From Office role (No Hybrid/ Work from Home available).


Required Qualification :


- Master of Engineering Master of Technology (M./M.Tech.) Data Science / Statistics / Computer Science.

- With a fast-growing analytics, business intelligence, and automation company.

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