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Job description:
The team member will be a part of AI services team at Fractal.ai and will be working in a fast paced environment
Lead Data Scientist is a leadership role in the AI services team with responsibilities spanning across client delivery, business development and people leadership.
Responsibilities:
- Leading AI solution end – to – end in given client projects, including AI solution design, execution and client and team management
- Leading project teams through the solution development, validation and, deployment, monitoring ensuring deliverable quality and timeliness
- Solving internal and client deadlocks ensuring alignments on key technical aspects of the AI solution
- Partnering with Sales teams during new business and renewal business development conversations to ensure new and incremental business
- Manage reporting team of data scientists and Sr. Data scientists providing career guidance for growth, resolving issues and ensuring high utilization in client projects
- Providing regular updates to executive team on client projects being handled, calling out project status, risks, issues, resolutions from a technical pov
- Collaborate with other functional teams such as Engineering, MLOps, DevOps, etc. as required in the client projects ensuring clear and effective communications enabling integration of AI solutions into client production systems.
- Collaborate with internal and client stakeholders to understand business requirements and translate them into AI solutions.
- Ensure optimizations in code and model using best-in-class techniques in ML and Deep learning
- Lead process of extensively clean, preprocess and transform to raw datasets to ensure its quality and suitability for model training.
- Implement best practices throughout the design and execution of AI solution
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science or a related field.
- Minimum 11-15 years of experience in AI and Machine Learning
- Strong proficiency in Python, PySpark, cloud platforms such as AWS, Azure and GCP
- Strong proficiency in machine learning, deep learning, supervised/unsupervised learning algorithms and their execution
- Good to have experience and understanding of Generative AI concepts
- Previous experience in leading data science projects is must
- Previous experience in new/ renewal business development is must
- Previous experience in client and internal team management is must
- Hands-on experience with model training, hyperparameter tuning, and deployment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Skills Required
- Bachelor's or Master's degree in Data Science, Computer Science or a related field
- Minimum 11-15 years of experience in AI and Machine Learning
- Strong proficiency in Python
- Strong proficiency in PySpark
- Strong proficiency in cloud platforms such as AWS, Azure and GCP
- Strong proficiency in machine learning, deep learning, supervised/unsupervised algorithms
- Previous experience in leading data science projects
- Previous experience in new/renewal business development
- Previous experience in client and internal team management
- Hands-on experience with model training, hyperparameter tuning, and deployment
- Excellent problem-solving skills and attention to detail
- Strong communication and teamwork skills
- Experience / understanding of Generative AI concepts
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
