Fractal is hiring for multiple Senior Data Scientist / Data Scientist roles in India

Short Description:

Fractal seeks a Senior Data Scientist/Data Scientist with 3 to 9 years of experience to join their team in Bengaluru, Pune, Mumbai, Chennai, or Gurgaon. The ideal candidate will lead a team in streamlining data science processes, collaborating with product and MLOps teams. Responsibilities include model development, deployment, and ensuring code standards and documentation. Technical skills in machine learning, cloud environments, and programming languages like Python and R are essential. A proactive problem-solving approach, domain understanding in ecommerce, and a relevant technical degree or certification are preferred.

Position: Senior Data Scientist / Data Scientist
Company: Fractal
Location: India (Bengaluru, Pune, Mumbai, Chennai, Gurgaon)
Job type: Full time
Job mode: Hybrid
Job id: SR-21926

Introduction

In the realm of data science, where innovation meets practical application, lies an opportunity to lead and inspire. Fractal, a company committed to excellence and customer satisfaction, seeks an adept Senior Data Scientist or Data Scientist with 3 to 9 years of experience to join their dynamic team. This role offers a chance to lead and collaborate on data science projects, ensuring their seamless integration into products and operations across multiple markets.

Company Overview

At Fractal, we are driven by a belief in our mission and the power of human decisions in shaping the enterprise. Through strategic partnerships and alliances, we deliver innovative solutions that unlock value for our clients. Our expertise in artificial intelligence, design, engineering, and digital transformation, combined with cutting-edge technologies, allows us to tackle complex business challenges with confidence.

Job Responsibilities

Leadership and Collaboration

Lead a team of data scientists in collaborative efforts with product, business analysis, and MLOps teams.
Streamline data science processes and workflows, ensuring efficient development and deployment of models.
Foster collaboration with MLOps to facilitate the transition from development to industrialization phase.
Provide support and guidance to data science developers in code development and redevelopment.

Model Development and Deployment

Oversee DS model development and redevelopment tasks, ensuring alignment with business objectives.
Lead model tuning efforts to enhance performance and accuracy.
Enforce proper code standards and documentation practices, facilitating transparent and replicable processes.
Conduct regular code reviews and establish robust testing and evaluation frameworks.

Production Support and Optimization

Develop and maintain production-grade code for quick rollout and scalability.
Plan and conduct root cause analysis (RCA) for identified issues, ensuring timely resolution.
Create monitoring plans for production environments to ensure system stability and performance.
Support user acceptance testing (UAT) activities and serve as a contingency resource for development tasks.

Architectural Design and Implementation

Design a common code base for efficient rollout in new markets, emphasizing modularity and configurability.
Implement well-designed data abstraction and parameterization strategies to support scalability and adaptability.

Technical Skills

Data Science Expertise

Possess a minimum of 3 years of hands-on experience in data science.
Strong knowledge of machine learning and statistical modeling techniques.
Experience working in cloud-based environments such as GCP, Azure, Amazon, or Databricks.
Proficiency in programming languages such as Python, R, and Spark.

Technical Proficiency

Solid understanding of data structures, algorithms, and software design principles.
Experience with GCP platforms and services, including BigQuery, Cloud ML Engine, and Cloud Storage.
Familiarity with version control tools such as GitHub for managing code, data, and machine learning models.

Development and Planning

Demonstrated experience in development planning and project management.
Ability to adhere to coding standards and develop reusable services.
Track record of end-to-end data science project delivery, from conceptualization to deployment.

Non-Technical Skills

Problem-Solving and Solution Design

Proficient in solution designing and critical thinking.
Ability to analyze complex problems and propose effective solutions.

Domain Knowledge

Familiarity with ecommerce domain concepts is considered advantageous.

Education and Certification

Bachelor’s or Master’s degree in Computer Science or a related technical field.
Equivalent educational background or relevant industry certifications are acceptable.
Completion of the "Fractal Data Science Professional Certificate" is recommended.

If you thrive in a dynamic environment and enjoy collaborating with motivated individuals, Fractal offers an exciting opportunity to advance your career. Join us in our mission to empower enterprises with data-driven insights and transformative solutions. If this role doesn't align with your current aspirations, express your interest for future opportunities or set up email alerts to stay updated on new postings that match your interests. At Fractal, we welcome talent and innovation, driving progress and success in every endeavor.