Senior Data Scientist

Location: Hyderabad

Experience: 6–10 Years

No of Positions: 4

About Anblicks

Anblicks is a Data & AI company helping global enterprises modernize their data landscape through Cloud, Data Engineering, AI, and Analytics solutions.

We are looking for a Senior Data Scientist to join our Data Science & AI practice. The role involves developing and deploying machine learning solutions, solving complex business problems, and working closely with Data Engineering, AI, and business teams.

Key Responsibilities

• Design, develop, and deploy Machine Learning and Statistical models for complex business problems.
• Perform data exploration, feature engineering, model training, validation, and hyperparameter tuning.
• Apply techniques such as Regression, GLM, Decision Trees, Random Forest, Boosting, Bagging, SVM, Clustering, and other ML algorithms.
• Analyze large datasets to identify patterns, trends, and actionable insights.
• Collaborate with business, product, engineering, and data teams to translate requirements into data science solutions.
• Work with Data Engineering teams to productionize ML models and build scalable data pipelines.
• Monitor and optimize model performance, accuracy, and reliability.
• Contribute to ML lifecycle, MLOps, automation, and continuous improvement initiatives.
• Communicate complex analytical concepts and findings effectively to technical and business stakeholders.

• 6–10 years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong hands-on experience with Python and machine learning/statistical modeling.
• Strong knowledge of ML algorithms, feature engineering, model evaluation, and optimization.
• Experience deploying and maintaining ML models in production.
• Experience working with ETL/ELT, data transformation, and large datasets.
• Experience with AWS, Snowflake, Databricks, or other cloud/data platforms.
• Experience with Spark/PySpark is preferred.
• Strong analytical, problem-solving, and communication skills.
• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related field.

• Experience with Deep Learning, NLP, Generative AI, or LLMs.
• Knowledge of MLflow, Kubeflow, Airflow, Docker, Kubernetes, or MLOps.
• Experience with H2O or similar ML platforms.
• Knowledge of cloud-based AI/ML platforms and CI/CD.

• Work on AI/ML and advanced analytics solutions for global enterprises.
• Exposure to modern Cloud, Data, and AI technologies.
• Collaborate with experienced Data Engineering and AI professionals.
• Opportunity to build scalable, production-grade ML solutions with real business impact.