Data Scientist (Analytics)

We are looking for Data Scientists to help shape the future of an automated trucking industry. You will enjoy working with one of the richest trucking data pools in India and full autonomy to unlock the potential in our data. You will see the insights from your analysis turned into real impact on the company’s growth as well as the industry’s progress.

What You Will Do

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers, understand the state of the company through quantitative point of view, and generate actionable insights to improve operations

  • Partner with operations and engineering teams to solve problems and identify trends and opportunities

  • Inform, influence, support, and execute for your data insights

  • The Data Scientist Analytics role has work across the following three areas:

    • Operations Analytics: monitoring key operations and product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics

    • Product Leadership: influencing operations and product teams through presentation of data-based recommendations, communicating the state of business, experiment results, etc. to product teams, and spreading best practices to analytics and product teams

    • Data Infrastructure: working with Excel/Google Sheets and Python primarily, and automating analyses and authoring pipelines via Python/R based ETL framework

About You

 

  • 1+ years’ experience doing quantitative analysis within a start-up or fast-paced environment

  • BA/BS in Statistics preferred. Other related fields such as  Computer Science, Math, Physics or Engineering are welcomed too.

  • Experience in Python, R or other programming languages

  • Development experience in any scripting language (PHP, Python, Perl, etc.)

  • Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product

  • Knowledge of statistics (e.g. hypothesis testing, regressions)

  • Experience manipulating data sets through statistical software (e.g. R) or other methods

Compensation

 

  • 8L – 16L per year

  • Performance bonus: 30% - 100%

  • Generous equity options

Questionnaire

 

What is the most impactful insight you’ve achieved or the most difficult problem you’ve solved through your analysis? Provide an exact and detailed description of your approach to it.

Co-Founders profiles

 

Sanjay Mandava   Jonathan Richards

Apply with your resume and response to the questionnaire to hr@golorry.com