Submitting more applications increases your chances of landing a job.
Here’s how busy the average job seeker was last month:
Opportunities viewed
Applications submitted
Keep exploring and applying to maximize your chances!
Looking for employers with a proven track record of hiring women?
Click here to explore opportunities now!You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for
Would You Be Likely to Participate?
If selected, we will contact you via email with further instructions and details about your participation.
You will receive a $7 payout for answering the survey.
This role is for one of Weekday’s clients Min Experience: 2 years Location: Mumbai, Gurgaon, NCR, Delhi, NOIDA JobType: full-time 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.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.