Data Science/computer Vision/ Nlp/dl

7 months ago


Bengaluru Karnataka, India growel softech Full time

**Skill**: Data Science/Computer Vision/ NLP/DL

**Experience**: 5 to 8

**Notice period**:2 to 3 Months(Proactive)

**Mode**: Full Time

**Job Description:
C1
- 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?- 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.- 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


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