Principal Data Scientist

Important Information

Location: PAN India

Experience: 10+ Years

Job Mode: Full-time 

Work Mode: Work from home

Job Summary

We are seeking a highly skilled and experienced Principal Data Science Engineer to join our dynamic team. In this role, you will lead the development and implementation of advanced data science models and algorithms, drive innovation in data analytics, and collaborate with cross-functional teams to deliver high-impact solutions. You will mentor junior data scientists and engineers, and play a pivotal role in shaping our data science strategy

Responsibilities and Duties

1. Model Development and Implementation:
• Design, develop, and deploy advanced data science models and algorithms.
• Ensure models are scalable, maintainable, and optimized for performance.
2. Leadership and Mentorship:
• Lead and mentor a team of data scientists and engineers, providing technical guidance and support.
• Foster a culture of continuous learning and innovation within the team.
3. Collaboration:
• Work closely with product managers, engineers, and business stakeholders to understand data requirements and deliver solutions.
• Collaborate with data engineering teams to ensure seamless integration of data science models into production systems.
4. Research and Innovation:
• Stay current with the latest advancements in data science and machine learning.
• Evaluate and implement new tools, techniques, and technologies to enhance our data science capabilities.
5. Data Analysis and Insight Generation:
• Conduct exploratory data analysis to uncover trends, patterns, and insights.
• Translate complex data into actionable insights and recommendations for business stakeholders.
6. Project Management:
• Lead data science projects from conception to completion, ensuring timely delivery and high-quality results.

Qualifications:

1. Education and Experience:
   • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
   • 10+ years of experience in data science, with a proven track record of developing and deploying advanced models.
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2. Technical Skills:
   • Experience with Databricks
   • Proficiency in programming languages - Python, Pyspark.
   • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
   • Strong knowledge of statistical analysis, data mining, and predictive modelling. Machine learning algorithms (supervised/unsupervised/deep learning). Model evaluations & validation.
   • Experience with big data technologies (e.g., Hadoop, Spark)
   • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services. AWS knowledge is must.
   • Docker, Kubernetes
   • Any DB experience, SQL query writing and optimization

3. Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work effectively in a fast-paced, dynamic environment

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.