Role: Principal Data Science Engineer
Exp: 10+ Years
Location: Remote
Notice Period: 30 Days Max
Key Responsibilities:
? Model Development and Implementation:
? Design, develop, and deploy advanced data science models and algorithms.
? Ensure models are scalable, maintainable, and optimized for performance.
? 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.
? 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.
? 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.
? 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.
? Project Management:
? Lead data science projects from conception to completion, ensuring timely delivery and high-quality results.
? Develop project plans, timelines, and resource allocation.
Qualifications:
? 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.
? 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
? Soft Skills:
? Excellent problem-solving and analytical skills.
? Strong communication and interpersonal skills.
? Ability to work effectively in a fast-paced, dynamic environment.
Job Type: Permanent
Pay: ?3,000,000.00 – ?5,000,000.00 per year
Experience:
? total work: 10 years (Required)
? Machine Learning Frameworks: 3 years (Required)
? Machine learning algorithms: 3 years (Required)
? Big Data Technologies: 2 years (Required)
? Cloud Platforms (e.g., AWS, GCP, Azure): 2 years (Required)
? AWS: 1 year (Required)
? Docker/Kubernetes: 3 years (Required)
? Database: 3 years (Required)
? Python: 2 years (Required)
? Pyspark: 2 years (Required)
Work Location: Remote
