InOrg Global

Lead Data Scientist

Posted 13 Days Ago

Be an Early Applicant

Hiring Remotely in India

Remote

Senior level

Business Intelligence • Consulting

The Role

The Lead Data Scientist will lead project teams to craft innovative analytics solutions, utilizing Machine Learning and Deep Learning. Responsibilities include designing sophisticated models, overseeing project delivery, mentoring team members in Python and AI, and collaborating with stakeholders to leverage data for business success.

Summary Generated by Built In

Currently We Have an Open Position With InOrg - Remote.
About InOrg:
InOrg - Empowering Global Growth at Scale.
Headquartered in Charlotte, US, InOrg helps organizations achieve global competitiveness
through the seamless integration of talent, technology, and strategic capabilities. Inorg's
mission is to provide holistic support to organizations establishing their Global Capability
Centers (GCC) in India. It goes beyond merely offering infrastructure and HR assistance; we
aim to be strategic partners, aiding in the seamless establishment and operational success
of GCCs
Overview:
○ The Lead Data Scientist will spearhead project teams, delivering cutting-edge solutions in
analytics, Machine Learning, and Deep Learning, while fostering a collaborative environment
where innovative ideas flourish.
Job Description:
○ Lead the design and implementation of sophisticated models using Machine Learning and
Deep Learning techniques.
○ Oversee the delivery of data science projects, ensuring they meet business requirements
and are completed on schedule.
○ Mentor and develop team members, enhancing their skills in Python, Machine Learning,
Deep Learning, and AI.
○ Collaborate with stakeholders across the organization to identify opportunities for
leveraging data to drive business solutions.
Qualifications:
○ Master’s or PhD in a relevant field, with a strong emphasis on Machine Learning, Deep
Learning, and AI.
○ 5+ years of experience in data science, including leadership roles.
○ Proficient in Python; knowledge of BI, Snowflake, and Snowpark is advantageous.
Skills:
○ Advanced skills in Machine Learning, Deep Learning, and AI.
○ Proficiency in Python, with experience in TensorFlow, Keras, or PyTorch.
○ Leadership and project management abilities.
○ Domain expertise in specific industries, enhancing the application of data science
solutions.
○ Strong communication and collaboration skills.