Senior Data Scientist
- Randstad Digital
- 5 - 10 years
- Hyderabad
- 3 days ago
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Job Description
Role & responsibilities
What you will do:
- Lead the end-to-end product development lifecycle, from ideation to launch, ensuring the successful delivery of AI products.
- Design, deploy, and monitor machine learning models in production using MLOps tools and cloud-native services.
- Develop and fine-tune Generative AI models and LLMs, integrating them into business applications.
- Clean, preprocess, and analyze large datasets to extract meaningful patterns, trends, and insights.
- Conduct thorough exploratory data analysis to discover hidden insights and potential opportunities.
- Build and maintain data pipelines for efficient data collection, storage, and processing.
- Develop and implement machine learning algorithms and models for predictive and prescriptive analytics.
- Communicate complex findings to both technical and non-technical stakeholders through visualizations, reports, and presentations.
- Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and relevant technologies.
- Build scalable, automated data pipelines for batch and real-time analytics using tools like Airflow, Spark, or dbt.
- Ensure compliance with data privacy and security standards in all AI solutions.
Preferred candidate profile
- Bachelor's degree from an accredited college or university, and/or equivalent relevant experience. MS, MBA or CFA designation is a plus.
- A minimum of 5 years of experience in data science, machine learning, or a related field. Wealth management industry related experience is a plus.
- Strong understanding of AI technologies, including machine learning, natural language processing, and Generative AI.
- Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes).
- Hands-on experience with Generative AI, LLMs, and prompt engineering.
- Familiarity with modern data engineering tools (Airflow, Spark, Kafka, dbt).
- Knowledge of data privacy regulations and responsible AI practices.
- Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong experience with data manipulation tools (e.g., SQL, pandas).
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices.
- Detail oriented with the ability to organize and prioritize tasks to ensure timely delivery of the projects
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Randstad DigitalLocation(s): Hyderabad+ View Contact
Keyskills: Artificial Intelligence Machine Learning Predictive Modeling Tensorflow Natural Language Processing Computer Vision Statistics Deep Learning Python Ml
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