At Nspira CBD’s Technology team, we're looking for a Data scientist to join our growing team. As the Data scientist, you will help develop models for the next generation education app using tools such as Pandas scikit learn, Tesnsorflow, ML and similar. You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. We're looking for someone who is comfortable with a fast-moving environment and can learn quickly.
Our Client Focus: Ed-tech digital apps covering multiple stakeholders that include but not limited to students, parents, teachers, principals and other admin staff etc.
How You’ll Grow
At Nspira CBD, we’ve dedicated a great deal of time to create a rich environment in which our professionals can nurture and grow. We want our team to develop in its own way, playing according to their own strengths as they hone their leadership skills. As a part of our efforts, we provide exposure to challenging assignments—to help accelerate their careers along the way.
Nspira CBD’s Culture
Our dynamic culture allows people to do their best every day. Our culture is an amalgamation of start-up and established firm’s culture, giving the employee a unique experience to thrive in today’s dynamic and volatile work scenario.
Work You Will Do
Nspira CBD offering works with clients from education industry to help them enable digital penetration through our various digital business solutions such as nLearn, nConnect, nGuide to name a few that create large scale impact. You will get to work with a customer base of approximately 1 lakh active users of our flagship digital product - nLearn. Approximately 3.3 lakh questions were attempted by students on the nLearn platform and 4.7 lakh tests for IITJEE preparation were taken. nGuide user base is spread across approximately 300 schools, 2,500 classrooms impacting approximately 2 lakh students.
What you’ll do?
1. Deep dive into massive datasets to answer key business questions
2. Mentor and manage junior data engineers for quality and timely delivery
3. Carry out research independently and develop advanced algorithms which can then be used to solve problems
4. Synthesise diverse, complex information and develop innovative analytic frameworks that will impact the business positively
5. Present analyses data to executive team and other team members