Data Scientist
At a glance
Mid-level Data Science role at Weekday AI. Mumbai · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Apply analytics and AI/ML methods to tackle client business problems and produce useful insights
- Shape business questions into frameworks that help guide solutions
- Run client engagements, maintain those relationships and move solutions forward
- Present findings clearly to clients and work with teams from different backgrounds
What you bring
- At least two years of relevant work in data science, machine learning, AI or big data
- A master's or doctoral degree in a related technical field
- Working knowledge of Python, R and SQL for analysis and machine learning
- Experience building and deploying scalable data products on AWS, Azure or another listed cloud platform
Who this fits
This role suits someone ready to apply data science and machine learning to client problems, communicate findings and manage client engagements. The role is full-time and lists Mumbai, Gurgaon, NCR, Delhi and Noida as locations.
From the employer
This role is for one of Weekday’s clients
Min Experience: 2 years
Location: Mumbai, Gurgaon, NCR, Delhi, NOIDA
JobType: full-time
Requirements
About the role
As a Data Scientist, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You will use data and advanced analytics to uncover innovative insights that create lasting impact for its clients.
Key Competencies :
- Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for the clients.
- Conceptualizing business problems and drive frameworks.
- Managing engagements, client relationships, and display initiative to effectively drive solutions to client problems.
- Communicating effectively and professionally with clients, delivering impactful solutions and presenting insights coherently.
- Collaborating to work in cross-functional teams with diverse backgrounds and perspectives
- A master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field
- 2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data
- Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning
- Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud
- Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.
- Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc.
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