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Description

You will be joining Near, one of the fastest-growing Enterprise SaaS companies (NASDAQ: NIR), and experience a true start-up culture with the freedom to experiment and innovate. At Near, we believe that great culture is not just about work; it’s work + life. We not only encourage our employees to dream big, but also give them the freedom and the tools to do so

In the role of Senior Data Scientist in Near’s Data Science team, you’ll join a team of experts in data science applied to location-based intelligence. This team conducts R&D, prototyping, development, and deployment of data science solutions applied to the world of Digital Marketing and Ad Tech. The role requires you to apply your extensive knowledge to designing, developing, and defining best practices for the Data Science team and to partner with key decision-makers in business, product, and engineering teams within the company.

You will collaborate with your team members, Software Engineers, Data Engineers, and Data Analysts to develop data-driven products. You should have the ability to envision Near’s products and their feature enhancements. This role requires you to be hands-on and you will be developing models and pipelines along with the rest of the team.

This will be a work-from-office role, based in our state-of-the-art office in Koramangala, Bangalore.

A Day in the Life

• Developing core data science models and capabilities that power the Near Platform and its SaaS products.
• Applying various data science methods such as time series forecasting, causal inference, machine learning methods and reinforcement learning to understand the most important aspects of our product, users, and business.
• Advanced data analytics include processing structured (payments, telecom, page clicks, etc) and unstructured data in multiple formats (text, audio, video) spanning multiple domains including user profile data, geospatial data, network data, and retail data.
• Project management of data science projects to ensure they are delivered on time.
• Researching and creating intellectual property for the company that will benefit Near and its partners.
• Use nonparametric and probabilistic models to generate insights keeping in mind the bias-variance trade-off.
• Working closely with the Engineering and Product team to operationalize and deploy the models.
• Partnering with technology and business teams to build a superior data quality pipeline that will feed the models.
• Understanding and prioritizing data science work based on cost-effectiveness and leveraging time management skills.
• Attending conferences and organizing workshops/meet-ups to be in touch with the data science community.

What You Bring to the Role

• An advanced degree in M.Tech/PhD in a quantitative field (e.g. Computer Science, Econometrics, STEM fields) plus.
• Overall 4-8 years of experience with at least 3 years of work experience on any data-driven company/platform, developing data science and quantitative models.
• Ability to work independently with high energy, enthusiasm and persistence.
• Must have exposure to handling multiple simultaneous projects and meeting deadlines. Should be able to work in a group setting as well as in an independent position.
• Must have good mathematical knowledge of probability and stochastic processes, distributions, priors, and posteriors.
• Writing complex transformation logic to generate independent and dependent variables, feature selection, model selection and tuning, performance measures, and generating production-ready code.
• Should have worked on Correlation/causation, decision trees, classification and regression models, recommender systems, deep neural networks, and NLP.
• Familiarity with Python programming, Apache Spark (Java, Scala, Python), ANSI SQL, AWS Cloud, PyMC3/theano/tensorflow and other scientific python/R modules is a plus.
• Should have worked on the deployment of models, and ML-ops, well versed with Github and best coding practices CI/CD.
• Need to be comfortable writing code for model building and bootstrap, test, and own models through their lifecycle including DevOps and deploying into the cloud.
• The candidate is expected to have exceptional problem-solving, analytical and organization skills with a detail-oriented attitude.

Apply to join us