Senior Data Scientist - AI/ML

As a Senior Data Scientist at our client's R&D team in Noida, Uttar Pradesh, you will play a crucial role in developing and implementing advanced analytical models to drive business insights and product innovation. Leveraging vast datasets, you will build predictive models, optimize algorithms, and contribute to cutting-edge research projects.

**Key Responsibilities:**

• Develop, train, and deploy sophisticated machine learning models for various applications like predictive analytics, natural language processing, and computer vision.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and conduct A/B tests and experiments to evaluate model performance and business impact.
• Collaborate with cross-functional teams to define project goals and translate business requirements into data science solutions.
• Build data pipelines, perform feature engineering, and ensure data quality for model development.
• Stay updated on the latest advancements in AI/ML research and technologies to solve challenging problems.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Contribute to the company's data science strategy, mentor junior data scientists, and promote data-driven decision-making.
• Evaluate and implement new tools and technologies to enhance the data science workflow.
• Ensure the ethical and responsible use of AI/ML technologies.

**Qualifications:**

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of hands-on experience in data science with a strong focus on machine learning and AI.
• Proficiency in programming languages like Python or R and expertise in ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Strong experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Proven track record of successfully developing and deploying ML models in production environments.
• Excellent understanding of statistical modeling, algorithms, and data mining techniques.
• Strong analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills.
• Experience with deep learning, natural language processing, or computer vision is highly desirable.
• Ability to work effectively in a hybrid team setting.

Join our client's innovative research and development efforts in Noida, Uttar Pradesh, and shape the future of AI. As a Senior Data Scientist at our client's R&D team in Noida, Uttar Pradesh, you will play a crucial role in developing and implementing advanced analytical models to drive business insights and product innovation. Leveraging vast datasets, you will build predictive models, optimize algorithms, and contribute to cutting-edge research projects.

**Key Responsibilities:**

• Develop, train, and deploy sophisticated machine learning models for various applications like predictive analytics, natural language processing, and computer vision.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Design and conduct A/B tests and experiments to evaluate model performance and business impact.
• Collaborate with cross-functional teams to define project goals and translate business requirements into data science solutions.
• Build data pipelines, perform feature engineering, and ensure data quality for model development.
• Stay updated on the latest advancements in AI/ML research and technologies to solve challenging problems.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Contribute to the company's data science strategy, mentor junior data scientists, and promote data-driven decision-making.
• Evaluate and implement new tools and technologies to enhance the data science workflow.
• Ensure the ethical and responsible use of AI/ML technologies.

**Qualifications:**

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of hands-on experience in data science with a strong focus on machine learning and AI.
• Proficiency in programming languages like Python or R and expertise in ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Strong experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Proven track record of successfully developing and deploying ML models in production environments.
• Excellent understanding of statistical modeling, algorithms, and data mining techniques.
• Strong analytical, problem-solving, and critical thinking skills.
• Effective communication and presentation skills.
• Experience with deep learning, natural language processing,