Sagacito Technologies - Data Scientist

Job Summary:

We have an exciting role as Data scientist in our fast-growing startup. Sagacito combines data science, mobile technologies, cloud computing and artificial intelligence to solve one of the toughest challenges in business, that of sales. We manage the entire sales process from CXO's to middle managers and ultimately to the frontline sales person. We combine computation and process flow through our suite of products to deliver measurable changes in profitability, market share and great sales execution. We will deliver all this through mobile first technologies using a SaaS model

Location: Delhi NCR

Role:

- The person will be part of data science team. This person will be working on a close basis with the business analysts and the technology team to deliver the Data Science portion of the project and product.

- Data Science contribution to a project can range between 30% to 80%.

- Day to Day activities will include data exploration to solve a specific problem, researching of methods to be applied as solution, setting up ML process to be applied in context of a specific engagement/ requirement, contributing to building a DS platform, coding the solution, interacting with client on explanations, integration the DS solution with the technology solution, data cleaning and structuring etc.

- Nature of work will depend on stage of a specific engagement, available engagements and individual skill

Experience in:

- Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement

Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms

Time Series Analysis

Optimization techniques and work experience with solvers for MILP and global optimization.

- Data Science

Good experience in exploratory data analysis and feature design & development

Experience of applying and evaluating ML algorithms to practical predictive modeling scenarios in various verticals including (but not limited to) FMCG, Media, E-commerce and Hospitality.

- Proficient with programming in Python (must have) & PySpark (good to have). Parallel ML algorithms design and development and usage for maximal performance on multi-core, distributed and/or GPU architectures.

- Must be able to write a production ready code with reusable components and integration into data science platform.

- Strong inclination to write structured code as per prevailing coding standards and best practices.

- Ability to design a data science architecture for repeatability of solutions

- Preparedness to manage whole cycle from data preparation to algorithm design to client presentation at individual level.

- Comfort in working on AWS including managing data science AWS servers

- Team player and good communication and interpersonal skills

- Good experience in Natural Language Processing and its applications (Good to Have)