Propellor ai Hiring Data Scientist 2021 | Pune

Propellor ai Hiring Data Scientist | Propellor.ai is hiring Data scientist at the Pune location. All details are given below please read the job description and responsibilities before applying for a job. Propellor.ai Careers.

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Company Name: Propellor.ai

Role: Data Scientist

Location: Pune

Experience: Minimum 2 Years

Qualification: B.E./B.Tech

Job Type: Full Time

Salary: Best in Industry

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Propellor ai Hiring Data Scientist

Purpose of Role:

Understand and solve complex business problems with sound analytical prowess and help business with impactful insights in decision-making
To make sure any roadblocks in implementation is brought to the notice of relevant stakeholders so that project timelines do not get affected
Document every aspect of the project in standard way, for future purposes
Articulate technical complexities to the senior leadership in a simple and easy manner.

Key Task and Abilities:

Understand the business problem and translate that to a data-driven analytical/statistical problem; Own the solution building process
Create appropriate datasets and develop statistical data models
Translate complex statistical analysis over large datasets into insights and actions
Analyse results and present to stakeholders
Communicate the insights using business-friendly presentations
Help and mentor other Associate Data Scientists
Build a pipeline of the project which is production-ready
Build dashboards for easy consumption of solutions

Experience:

Minimum 2 years in data science role with experience of building end-to-end solution as well as implementing or operationalizing the same solution
Must have done EDA extensively for a minimum of 2 years
Expertise strongly desired in building statistical and machine learning algorithms for:
Regression
Time series
Ensemble learning
Bayesian stats
Classification
Clustering
NLP
Anomaly Detection
Hands-on experience in Bayesian Stats would be preferred
Exposure to optimization and simulation techniques (good to have)

Education:

B.Tech (or equivalent) in any branch or degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative fields

Skills:

Proven skills in translating statistics into insights. Sound knowledge in statistical inference and hypothesis testing
English (Fluent)
Microsoft Office (mandatory)
Expert in Python (mandatory)
Advanced Excel (mandatory)
SQL (at least one database)
Reporting Tool (Any Tool – Must be open to learning tools based on the requirement)