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Principal Data Scientist

3 months ago


Hyderabad, India Juniper Consultancy Services Full time

Role Overview :


We seek an experienced Principal Data Scientist to lead our data science team and drive impactful business analytics and machine learning projects. The ideal candidate will possess a solid technical background in business analytics, data science modelling, and ML engineering, along with proven leadership skills.

Primary Stack :

- Python

- SQL

- Cloud Platforms, preferably AWS or GCP

Responsibilities :

- Lead and mentor a team of 10 data scientists, fostering a culture of innovation and collaboration.

- Drive the development and implementation of data science and machine learning projects, from ideation to deployment.

- Utilize advanced analytics techniques to derive actionable insights and support strategic business decisions.

- Design, build, and optimise machine learning models and algorithms to address complex business challenges.

- Collaborate with cross-functional teams to understand data needs and deliver tailored ML solutions.

- Oversee data collection, preprocessing, and analysis, ensuring data integrity and accuracy.

- Stay current with industry trends and emerging data science and machine learning engineering technologies.

- Present findings and recommendations to stakeholders clearly and compellingly.

Qualifications :

- 6+ years of experience in data science, business analytics, or a related field.

- Proven experience in leading data science teams and managing multiple projects simultaneously.

- Strong proficiency in SQL and Python, with extensive experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

- Solid understanding of ML engineering practices, including model deployment, monitoring, and optimization.

- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying ML models and managing data pipelines.

- Familiarity with MLOps tools and practices for improving the reproducibility and scalability of machine learning workflows.

- Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

- Exceptional communication and interpersonal skills, capable of engaging with both technical and non-technical stakeholders.

(ref:hirist.tech)