Data Scientist

4 weeks ago

hyderabad, India NeerInfo Solutions Full time
Job Description: Principal Data Scientist
Are you a passionate and experienced data scientist who can lead complex projects and deliver innovative solutions for our clients? If so, we want you to join our team as a Principal Data Scientist.
Level- Leadership
Location- Hyderabad/Bengaluru/Pune/Chennai
Role
As a Principal Data Scientist, you will be responsible for designing, developing, and implementing data-driven solutions that address business challenges and opportunities across various domains and industries.
You will work closely with clients, stakeholders, and other data scientists to understand the business context, define the problem statement, and propose the best data science approach to solve it.
You will leverage your expertise in data engineering, data analysis, machine learning, artificial intelligence, and visualization to deliver end-to-end solutions that are scalable, robust, and impactful.
You will be expected to manage a portfolio of accounts and grow the portfolio while adding new capabilities in the team.
You will also mentor and coach junior data scientists, share best practices, and contribute to the development of our data science capabilities and offerings.
Business Expertise
You have at least 10 years of relevant experience in data science, preferably in consulting or client-facing roles.
You have a strong understanding of the business drivers, challenges, and opportunities in one or more of the following industries: financial services, insurance, manufacturing, or retail.
You have demonstrated the ability to translate business problems into data science solutions, communicate effectively with various stakeholders, and deliver value-added outcomes.
You have a proven track record of leading and managing complex data science projects, from scoping and planning to execution and delivery.
Industry Knowledge
You have a deep knowledge of the data sources, methods, and tools relevant to your industry of expertise.
You have a keen awareness of the latest trends, developments, and innovations in your industry and how they can be leveraged for data science applications.
You have a strong network of contacts and relationships in your industry and can leverage them to generate new business opportunities and insights.
You have a solid understanding of the regulatory, ethical, and legal aspects of data science in your industry and how to ensure compliance and trust.
Deep knowledge of business processes and process transformation using levers like operations analytics.
Technology Skills
You have a master's degree or PhD in a quantitative field such as computer science, statistics, mathematics, engineering, or physics.
You have a high proficiency in programming languages such as Python, R, SQL, and Scala, and frameworks such as TensorFlow, PyTorch, Spark, and Hadoop.
You have a broad and deep knowledge of modern data skills, such as data engineering, data analysis, machine learning, artificial intelligence, and visualization.
You have experience in applying various data science techniques, such as supervised and unsupervised learning, natural language processing, computer vision, deep learning, reinforcement learning, and optimization.
You have experience in developing and deploying data science solutions on cloud platforms such as AWS, Azure, or Google Cloud, and using tools such as Docker, Kubernetes, and Git.
Results
You have a strong focus on delivering high-quality and actionable results that meet or exceed the expectations of the clients and stakeholders.
You have a clear and concise way of presenting and visualizing your results, using appropriate metrics, charts, dashboards, and reports.
You have a rigorous and systematic way of evaluating and validating your results, using appropriate methods, tests, and benchmarks.
You have a continuous and proactive way of improving and optimizing your results, using feedback, experimentation, and innovation.

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