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Lead Data Science Engineer

4 months ago

Bangalore, Karnataka, India Growel Softech Pvt. Ltd. Full time

Role : Lead Data Science Engineer

Domain, Technology and Sub-technology : Data Analytics & Data Visualization

Base Location : Bengaluru

Type : Hybrid Mode with 2-3 days work from office per week based on project demand

Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field

- 4 to 8 years of relevant experience

Job Overview :

Attention Data Scientists

Are you a data-driven individual with a passion for solving complex problems?

We are seeking an experienced and highly motivated Data Scientist to join our growing team. The successful candidate will have a strong background in statistical analysis, machine learning, and data visualization. They will work with large and complex data sets to develop insights and make data-driven decisions that drive business value.

As a Data Scientist, you will have the opportunity to work with large and complex data sets, build and maintain predictive models, and design and implement experiments to validate and refine your work. You will also have the chance to collaborate with cross-functional teams, communicate your insights to stakeholders, and stay up-to-date with the latest trends and technologies in data science and machine learning.

If you are looking for an opportunity to make a difference in a fast-paced and challenging environment, this could be the perfect role for you. Apply today and take your career to the next level

Primary Skills :

- Strong experience with statistical analysis.

- Proficient in programming languages such as Python and R.

- Experience with big data technologies such as Hadoop, Spark, ELK and NoSQL databases.

- Excellent communication and presentation skills.

- Ability to work independently and in a team environment.

- Experience with project management tools and methodologies (e.g. Agile, Scrum).

- Knowledge of data visualization tools and techniques (e.g. Tableau, PowerBI, ELK).

Good to have Skills :

- Exposure to Machine learning

- Open-source contributions

Key Tasks & Responsibilities :

- Extract, process, and analyze large data sets to develop insights and support decision making.

- Build and maintain predictive models and algorithms to support business objectives.

- Design and implement experiments to validate and refine models.

- Communicate insights and findings to stakeholders and make data-driven recommendations.

- Collaborate with cross-functional teams to identify and solve business problems.

- Stay up-to-date with the latest trends and technologies in data science and machine learning.

Keywords :

- Data Analytics, Data Science, Python, Agile SCRUM

(ref:hirist.tech)