Senior Data Scientist Job in Infocepts

Position: Senior Data Scientist

Location: Bangalore

Employment Type: Full-time

Experience Required: 5 to 7 years

Purpose of the Position:

The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes.

Key Responsibilities:

• Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable.
• Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle.
• Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed.
• Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders.
• Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities.

Essential Skills:

• Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Programming Languages: Strong skills in Python and R.
• Data Processing: Experience with tools like Pandas, NumPy, and Spark.
• Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI.
• Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB.
• Statistical Analysis: Strong foundation in statistics and probability.
• Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks.
• ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support.

Desired Skills:

• Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Natural Language Processing (NLP): Understanding of NLP techniques and applications.
• Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra.
• Software Engineering: Proficiency in software development and version control systems like Git.

Qualifications:

• Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models.
• Certifications: Relevant certifications in machine learning or data science are a plus.

Key Qualities:

• Analytical Thinking: Strong analytical and problem-solving skills.
• Communication: Excellent verbal and written communication skills.
• Team Player: Ability to work effectively in a collaborative team environment.
• Adaptability: Flexibility to adapt to changing business needs and technologies.
• Innovation: A proactive approach to exploring new ideas and technologies.

Apply now to join our dynamic team and lead innovation through machine learning and AI!