Senior Data Scientist - Deep/Machine Learning (10-14 yrs)

Exp : 10+ Years of exp in ML, SQL, Python and TensorFlow- Must

Location : Bangalore and Chennai

NP : Immediate joiners/Jan 1st week max

Key Responsibilities :

- Design, develop, and deploy machine learning models to solve complex healthcare-related challenges.

- Build and optimize end-to-end ML pipelines, including data preprocessing, feature engineering, and model evaluation.

- Collaborate with cross-functional teams to identify and implement AI-driven solutions for medication adherence, patient engagement, and prescription optimization.

- Utilize Python, TensorFlow, and associated frameworks to build scalable machine learning models.

- Analyze large and complex datasets to uncover actionable insights and trends in medication management.

- Implement and integrate ML models into production systems with a focus on reliability and scalability.

- Develop predictive analytics dashboards and visualizations to support business decision-making.

- Work with SAS-based systems when required, leveraging expertise in statistical modeling and analytics.

- Stay up-to-date with the latest advancements in machine learning, AI, and healthcare technology to incorporate cutting-edge techniques.

- Document processes, methodologies, and model outcomes for internal and regulatory purposes.

Required Skills & Experience :

- 10+ years of experience in Data Science and Machine Learning roles.

- Proficiency in Python, with a strong understanding of libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.

- Expertise in developing and deploying machine learning models using TensorFlow.

- Strong knowledge of machine learning algorithms, including supervised and unsupervised learning, deep learning, and ensemble techniques.

- Experience in handling and preprocessing large datasets from various sources (structured and unstructured data).

- Proficiency in SQL for data querying and manipulation.

- Experience in SAS for statistical analysis and predictive modeling (preferred but not mandatory).

- Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying ML models.

- Strong analytical skills with the ability to translate business requirements into technical solutions.

- Excellent problem-solving skills and the ability to work independently and in teams.

Educational Background :

- Bachelors or master's degree in computer science, Data Science, Machine Learning, Statistics, or a related field.

- Certifications in TensorFlow, Python, or SAS are a plus.

Preferred Attributes :

- Experience in the healthcare or pharmaceutical industry.

- Strong communication skills for presenting technical solutions to non-technical stakeholders.

- Proven ability to lead and mentor junior team members.

- A results-oriented mindset with a focus on delivering impactful solutions.