Eccentric’s Mission

We are building a Showroom-like experience in a virtual world where a vehicle buyer

• Can take a 3D walkthrough of all models/variants/trims on sale
• Can customize the vehicle and see exactly how it looks like and how much it will cost
• Can take a ‘Virtual Consultation’ with a sales agent in the virtual world (some like to call it Metaverse)

What you’ll do

• Developing and implementing statistical models to analyze data and uncover patterns and insights.
• Building and deploying machine learning models to automate predictions and decisions.
• Communicating findings and recommendations to stakeholders through visualizations, reports, and presentations.
• Collaborating with cross-functional teams, such as engineering, product, and business, to drive data-driven decision-making.
• Ensuring the security, privacy, and ethical use of data.
• Defining and tracking key performance metrics to evaluate the success of models and inform future development.
• Standardizing the dashboard with the help of the product manager and provide recommendations to the product manager and close the loop with the project manager/client for ad-hoc requests from the project teams.
• Provide weekly product performance analysis and insights to internal and external stakeholders, keeping in mind the KPIs.
• Ensure 100% data adherence for every release by working with quality assurance and providing recommendations for the commissioning and decommissioning of data sets.
• Monitor and analyze the performance levels of various projects and competitive products, validate changes in product/UX with data including A/B testing, and provide regular training to end-users on new reports and dashboards.

What we seek

• Past Experience in Forecasting, reporting, and tracking operational metrics using techniques like Moving Average, Simple Linear Regression, and Multiple Linear Regression.
• Proven expertise in Identifying and improving processes, including creating standard and ad-hoc reports, tools, and Excel dashboards.
• Previously had knowledge of conducting market research and data mining using techniques like Null Hypothesis, Correlation Analysis, Predictive Algorithms, and Process Stability.
• Possesses proficiency in Microsoft Excel, and familiarity with data query and management tools such as Access, SQL, and Business Objects.
• Preference will be given to candidates who are well-versed in analytics tools like Google Analytics, Adobe Analytics, and Amplitude