Data Scientist

Job Description

If you can create a blend of RedBull®- fueled hacking and espresso-inspired statistics, Uplers Talent Network is your platform!

Uplers is inviting Data Scientists with 3+ years of experience in data-driven business problem solving, understanding of analytics and data science, and using Jupyter Notebooks and Python to manipulate data and draw insights from data sets.

Uplers is always on the lookout for professionals to join the Talent Network who can evangelize and demonstrate the value and impact of analytics through analytics solutions.

So, if you believe you have the potential to mine and analyse data from databases to drive optimization, get ready to be a part of Uplers Talent Network!

  • location
    Location : Permanently remote
  • experience
    Experience : 3+ years
  • working hours
    Working Hours : 8 hours per day (5 days/week)
  • Apply Now

Uplift with Uplers

We are proud to say that each day at Uplers is about its people.

As an individual, It's up to you to take control of your career and look for chances to grow professionally. Helping you find what's next is what we're all about. We are aware of what's happening in the changing workplace and hence, we are here to help you.

Uplers is passionate about connecting India's top talents with best companies globally through our Talent Network. We are a platform for people who want an opportunity to showcase their talent and be recognised for it.

Let's talk about Uplers Talent Solutions

Uplers Talent Network is a place where great talents meet the right opportunities. Our talent network is a large ecosystem of top Indian talents who can benefit from one another and gain access to many contractual global opportunities.

With us, you will get the support, guidance, and opportunities you need to take your career to the next level. So, get ready to get the best ride of your career growth with Uplers Talent Network!

Perks of joining Uplers Talent Network:
  • Payout: Take a long stride, get paid in global currencies, and earn more than industry standards.
  • Opportunity: Work with international companies and clients, and get your next career growth opportunity to build your future.
  • Projects: You will be ensured global exposure and learnings with our exciting global projects.
  • Talent Success Coach: Get connected with a dedicated coach to guide you before, during as well as after your assignment with our clients.
  • Projects: Get ensured global exposure and learnings with our exciting international projects.
  • Mobility: Work from the comfort of your living room couch or a breezy beach.

How to become a part of our Talent Network?

location
Fill the application form
location
Clear the 3 stage assessment process
location
Become a Uplers Certified Talent
About the profile
  • If you are a data scientist with 3+ years of experience and believe you can be in India‚Äôs top 3.5% of data engineers, we invite you to go through the requirements below and take at least 3 skills assessments to get into our Talent Network.
  • More the successful assessments you add to your profile, the better would be your chances of being a part of our Talent Network.
Requirement
  • Proven experience as a Data Scientist
  • Experience in data mining
  • Understanding of machine learning and operations research
  • Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Analytics with R tools, python & machine learning techniques
  • Understanding linear and non-linear regression models
  • Ability to perform exploratory data analysis & regression analysis
  • Proficient and knowledgeable in all DSPs and platforms
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Experience with data visualization tools
  • Excellent communication and presentation skills
  • BSc/BA in Computer Science, Engineering, or relevant field; a graduate degree in Data Science or other quantitative field is preferred