Senior Data Scientist

Position Title: Lead Data Scientist

Job Description :

Roles & responsibilities:

Technical Expertise:

• Design and implement state-of-the-art machine learning models and algorithms.
• Analyze large, complex datasets to extract actionable insights.
• Develop predictive and prescriptive models to drive business decisions.
• Oversee the deployment of data science models into production environments.
• Ensure best practices in data engineering, model management, and version control.

Architectural Leadership:

• Define and implement the overarching data science architecture and strategy.
• Ensure the scalability, performance, and reliability of data science solutions.
• Lead the selection and integration of data science tools, frameworks, and platforms.
• Build and deploy data science solutions at scale.

Collaboration and Guidance:

• Work closely with cross-functional teams, including engineering, product, and marketing, to integrate data science solutions into business processes.
• Provide technical mentorship and guidance to the data science team.
• Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.

Innovation and Continuous Improvement:

• Stay current with the latest advancements in data science, machine learning, and AI technologies.
• Evaluate and implement new tools and technologies to enhance the data science architecture and continuously improve analytical capabilities.
• Drive innovation through research, experimentation, and prototyping.

Governance and Best Practices:

• Establish and enforce data science best practices, including coding standards, documentation, and model validation.
• Ensure data security and compliance with relevant regulations and standards.
• Develop and maintain comprehensive documentation of the data science architecture and processes.

Experience Required:

• An advanced degree in a STEM field like CS, DS, Engineering, Statistics, Math, etc. is preferred, or equivalent experience from building large scale solutions.
• 7+ years of experience in data science, with experience in architecting and deploying data science solutions at scale.
• Proven track record of leading data science projects and teams.
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data analysis tools (e.g., Python, R).
• Strong background in statistical modeling, deep learning, data mining, and predictive analytics.
• Strong background in data engineering and big data.
• Proficiency in SQL and experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Proficiency in understanding interaction of multiple data science/ML models.
• Must know how to go from point solutions to platforms.
• Strong problem-solving skills and the ability to think critically and analytically.
• Excellent communication and presentation skills.
• Ability to manage multiple projects and prioritize tasks effectively.
• Product mindset and systems thinking.
• Experience in the retail industry.
• High performance computing background and experience engaging with the engineering teams in a product model.
• Familiarity with DevOps practices and tools for model deployment and monitoring (e.g., Docker, Kubernetes).

Skills Required:

• Machine learning solution architecture
• TensorFlow
• PyTorch
• Python
• statistical modeling
• deep learning
• data mining
• predictive analytics
• data engineering
• big data technologies
• SQL, cloud platforms (AWS, Azure, Google Cloud),
• ML model interactions
• platform-level solution deployment