Senior Data Scientist

3 weeks ago


Bangalore, Karnataka, India Magnacore Technologies Private Limited Full time

Job Overview :

As a Senior Data Scientist, you will play a pivotal role in our data analytics team. You will be responsible for driving complex data science projects, developing advanced models, and providing actionable insights to support business strategies. This role is ideal for a highly experienced individual who thrives in a fast-paced environment and is eager to lead and mentor a team of talented data scientists.


- Bachelor's, Master's, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- 8+ years of experience in data science, with a proven track record of leading and delivering high-impact projects.

- Expertise in advanced machine learning techniques, statistical modeling, and AI.

- Proficient in Python and experienced with machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

- Advanced skills in SQL and experience with big data technologies.

- Experience with MLOps practices and tools.

- Strong leadership and mentorship abilities.

- Excellent communication skills.

Key Responsibilities :

- Data Analysis and Modeling : Analyze large datasets to discover trends and patterns, build predictive models, and solve complex business problems.

- Algorithm Development : Design and implement scalable machine learning algorithms and statistical models for various business use cases.

- Project Leadership : Lead end-to-end data science projects, from ideation to deployment, ensuring timely delivery and alignment with business goals.

- Collaboration : Work closely with cross-functional teams, including engineering, product management, and marketing, to understand business needs and deliver data-driven solutions.

- Data Visualization : Create compelling visualizations and presentations to communicate findings to stakeholders at all levels of the organization.

- Mentorship : Provide guidance and mentorship to junior data scientists and analysts, fostering a culture of learning and continuous improvement.

- Research and Innovation : Stay up-to-date with the latest advancements in data science and machine learning, and identify opportunities to apply new techniques to our business.

(ref:hirist.tech)
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