you’ll be our : Data Scientist
you’ll be based at : Corporate office, Bangalore (IBC Knowledge Park)
you’ll be Aligned with : Head of Business Intelligence
you’ll be A member of : Business Intelligence Team
Our business journey captures a wealth of information at different touchpoints with the vehicle and customer during production, sales, marketing and vehicle ownership.
On the customer front, not only is there data captured through online touchpoints like the website, email marketing, digital marketing, app interactions, and social engagements, but we also accumulate data through physical touchpoints like the experience center, call interactions, vehicle service interactions or events.
We want someone who can be a part of the brand’s journey; someone who can not only find questions that all this data can answer but also preempt those questions that market dynamics may present to us.
A data explorer and an analyst who owns the entire journey from deciding the structure of the experiments to culling out insights and recommending business actions.
What will you be doing at Ather?
Advanced Statistical Analysis : As a data scientist, you will be involved in a lot of scenario planning / modeling, predictive or cognitive analytics through advanced machine learning tools & techniques.
Data Querying : Querying & Structuring data in order to create reporting infrastructure / dashboards for business process management.
Reporting Ops : Prepare reports at regular and defined cadences, as well as conduct ad-hoc data mining and analysis to drive managerial decisions and focused improvement efforts
Data analysis : Deep-dive various data sources for analysis, root causes, and uncover new patterns to answer key business questions for all functions within Ather including (but not limited to) business, production, finance, and HR through strong collaboration across the organization
Storytelling : Present recommendations and insights of various analysis to key stakeholders in the most compelling manner to influence decision making
Work with cross-functional teams, multiple systems, and vendor data to design, build, deploy the reporting systems, and utilize metrics to identify strong improvement opportunities
Collaborate with Data engineering and participate actively in discussions involving dashboards, data decisions, etc. for the organization
In cross-functional teams, make sure task completion timelines are estimated accurately and communicated. Prioritize BI tasks and share the necessary insights in the relevant swimlanes.
Track program metrics and ensure that all programs are providing the business benefit as outlined in the original business case for the project.
Represent the needs of the business, function, or region on an ongoing basis to drive process improvements
Establish processes which are consistent with overall organization objectives and maintains process documentation
What kind of skills do you need for this role?
Ability to develop and work on advance ML algorithms to solve complex business problems
Expert level quantitative analytical skills including proficiency on using statistical tools & techniques
Data querying skills using SQL / Python or working knowledge of Metabase will be extremely useful
Sound business acumen & understanding of business processes
Superior communication and storytelling skills (both written and verbal)
Advance knowledge on BI tools like Tableau, Power BI, Python and R is essential
Strong working knowledge on Google Analytics, Grafana, Kibana & Data Studio
Some attributes that you bring to this role?
What should you have graduated in?
A master’s / bachelor’s in Mathematics / Statistics / Engineering / Data Science / Business
8-10 years of working experience in the data analytics field in a data-driven company or function