Data Scientist

1 month ago

HyderabadTelangana, India Neer Info 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.

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.

(ref:hirist.tech)

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