Senior Data Scientist
First seen by Alion on Sep 4, 2026.
Who We Are :
Netcore.ai is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels.
With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences.
Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.
What You'll Do :
Role Summary :
As a Senior Data Scientist, you'll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP.
This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.
Roles and responsibilities :
Model Development and Innovation :
- Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation.
- Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.
- Optimise model performance, scalability, and interpretability for production systems.
MLOps & Deployment :
- Contribute to the deployment of models into production environments using MLOps best practices.
- Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models.
Data & Experimentation :
- Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.
- Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.
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.
Cross-functional Collaboration :
- Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.
Who You Are :
Education :
- Bachelors from Tier 1 premier institute in relevant field, or; Master's or PhD in Computer Science, Data Science, Mathematics, or a related field.
Experience :
- 3 - 6 years of hands-on experience in machine learning or data science roles.
- Proven expertise in machine learning, deep learning, NLP, and recommendation systems.
- Hands-on experience deploying ML models in production at scale.
- Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS 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 :
- Strong analytical and problem-solving mindset.
- Excellent communication skills to articulate data-driven insights.
- A passion for innovation and staying up-to-date with the latest trends in AI/ML.
Global Recognitions :
- Leader in Commerce Search and Product Discovery in the Forrester Wave 2023.
- The only Forrester-rated global vendor in Product Discovery, Cross Channel Marketing Hubs and Email.
- Leader in Marketing Platforms in G2's Winter 2024 Grid.
- Top 20 global Google Cloud Partner.
- Appraised at Level 3 of ISACA's CMMI by Equalitas Certifications Limited.
- Great Place to Work for six consecutive years in India.
Skills
Data Science, Data Scientist, NLP, Machine Learning, Artificial Intelligence, MLOps, AWS SageMaker, AWS, Python, Deep Learning