<p></p><p><b>Role Summary :</b></p><p></p><p><b><br/></b></p>As a Senior Data Scientist, youll 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 You'll Do Development and Innovation :</b></p><p><br/></p>- Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation.<br/><br/><p></p><p>- Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.<br/><br/></p><p>- Optimise model performance, scalability, and interpretability for production & Deployment :</b></p><p><br/></p>- Contribute to the deployment of models into production environments using MLOps best practices.<br/><br/><p></p><p>- Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling & Experimentation :</b></p><p><br/></p>- Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.<br/><br/><p></p><p>- Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product and Tools :</b></p><p><br/></p>- Work with large-scale datasets, ensuring data quality and scalability of solutions.<br/><br/><p></p><p>- Leverage cloud platforms like AWS, GCP for model training and deployment.<br/><br/></p><p>- Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.<br/>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 Collaboration</b></p><p><br/></p>- Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science You Are :</b></p><p><br/></p>- Bachelors from Tier 1 premier institute in relevant field, or;<br/><br/><p></p><p>- Masters or PhD in Computer Science, Data Science, Mathematics, or a related :</b></p><p><br/></p>- 5 to 8 years of hands-on experience in machine learning or data science roles.<br/><br/><p></p><p>- Proven expertise in machine learning, deep learning, NLP, and recommendation systems.<br/><br/></p><p>- Hands-on experience deploying ML models in production at scale.<br/><br/></p><p>- Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a Skills :</b></p><p><br/></p>- Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.<br/><br/><p></p><p>- Strong understanding of statistical methods, predictive modeling, and algorithm design.<br/><br/></p><p>- Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or Skills :</b></p><p><br/></p>- Strong analytical and problem-solving mindset.<br/><br/><p></p><p>- Excellent communication skills to articulate data-driven insights.<br/><br/></p><p>- A passion for innovation and staying up-to-date with the latest trends in AI/ML.</p><br/><p></p> (ref:hirist.tech)