Senior Data Scientist (#14844442)

SPECIAL REFERRAL BONUS $2000
Work type:
Flexible (Office/Remote)
Technical Level:
Senior
Job Category:
Data Science
Project:
Moove

N-iX is looking for an experienced Senior Data Scientist to join the global team behind a mobility company that aims to democratize vehicle ownership and financing on the entire continent.

About the role:
You will join a team of 5 Data professionals and Build a Data Lake platform from scratch using cutting-edge technologies. You will also be involved in developing new data pipelines, ingesting, and data orchestration.
The Data Team is a brand-new function that’s been created with data at the heart and minds of growing the business to be a data-led company. We want to hear from experienced and creative data analysts who want to use their skills to improve people’s lives and help us democratize mobility thru fintech.

Responsibilities:

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
  • Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information
  • Research and develop analysis, forecasting, and optimization methods
  • Monitor key metric to help the business identify emerging trends

Requirements:

  • 2 years of work experience in data analysis/machine learning related field
  • Experience with R, Python, SQL
  • Expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Applied experience with machine learning on large datasets
  • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills
  • English level – upper-intermediate or higher

Nice to have:

  • Prior AWS experience (SageMaker etc.)

 

We offer:

  • ​Flexible working hours
  • ​A competitive salary and good compensation package
  • ​Best hardware
  • ​A masseur and a corporate doctor
  • ​Healthcare & sport benefits
  • ​An inspiring and comfy office

Professional growth:

  • Challenging tasks and innovative projects
  • ​Meetups and events for professional development
  • ​An individual development plan
  • ​Mentorship program

Fun:

  • ​Corporate events and outstanding parties
  • ​Exciting team buildings
  • ​Memorable anniversary presents
  • ​A fun zone where you can play video games, foosball, ping pong, and more