Data Science Consultant Job in Saras Analytics

Roles & Responsibilities

If you are an individual who is extremely self-motivated and have the technical skills to analyse data and build predictive models, then we are looking for you! A day in this role would involve developing or deploying our augmented analytics service Vigilance. Vigilance is an augmented analytics service built using our expertise in the e-commerce domain and offers our clients autonomous forecasting and anomaly detection tools. The tools are built in the Google Cloud ecosystem. A more boring descriptive illustration of this role is as below

- Use SQL, Python and other analytical tools to build data models and pipelines to deploy Vigilance to clients who subscribe to the service

- Build new functionalities in the core alerting tools as a part of the team s sprints

- Create and maintain technical documentation for both client and internal orgs

- Be a liaison between the technical and business teams, across both client and internal orgs

Eligibility Criteria

- 1+ years of experience working in relevant analytical roles

- Advanced technical proficiency in SQL and Python (especially pandas, numpy)

- Proficiency in advanced statistical concepts and machine learning

- Experience working on analytical problems involving forecasting, clustering, and classification

- Excellent logical, analytical and communication skills to interact with relevant stakeholders

- Strong understanding of building scalable data models

- High aptitude and critical thinking capability

- Proven ability to work in cross-functional teams without formal authority

Preferred Qualifications (in order of priority)

- Prior experience working in e-Commerce domain

- Ability to represent complex technical concepts in easily understandable pictures or text

- Proactive in taking up ownership of project responsibilities and managing stakeholder expectations

- Eagerness to contribute to building delivery and organizational capabilities

Location

- Hyderabad (with a highly flexible WFH policy)