Her second innings
Location
Gurgaon | India
Job description
Job Title: Data Scientists
Location : Gurgaon Bangalore Pune Noida Mumbai Hyderabad
Experience : SA L1 57yrs/SA L2 79yrs/Manager 9 14 yrs
**12 months recent career gap mandatory**
JOB TITLE DATA SCIENTISTS
EXPERIENCE
Manager 10 years with at least 7 years of DS
SA L2 7 years with at least 2 years of DS
SA L1 4 years with atleast 2 years of DS
experience
PRIMARY RESPONSIBILITIES
Understand Business problems and KPIs by holding discussions with relevant customer stakeholders
Prescribe the right data science approach to solve customer s Business problems
Identify the different data sources needed for project execution including both internal and external
data
Ensure proper DQ checks are done and the data is well understood by the Team
Document DQ related issues and barriers and take it up with Customer stakeholders
Generate hypothesis for performing various Exploratory analysis and lead the effort
Storyboard the findings in data and explain the Business value convincingly to customers
Drive analytical modeling using a variety of learning algorithms and ability to compare model outputs
without Bias
Demonstrate Business value of Analytical models and ensure they are deployed in Production
Prescribe the right Data technologies to use in Production and lead the Data pipelining effort for
production
Orchestrate Data and ML solutions using Cloud services
Employ CI/CD practices in Model deployment and produce a stateofart model deployment that can
be Traceable
Be the anchor for Customer calls and ensure customer communication is effective
Ensure that right coding guidelines and processes are followed by the Team
Institutionalize good Data Science practices in the Team
Ensure proper documentation via good project management tools like Confluence JIRA etc.
Author Technical blogs both internally and externally and evangelize the Team s efforts
EXPERIENCE
BS/MS in Computer Science Math Physics Engineering Statistics or other quantitative or
computational field. Advanced degrees preferred
Should know what model to apply and in what situation to apply (know advantages and dis
advantages of ML /DL techniques)
Proven ability to perform indepth analysis compile and interpret results
Demonstrate proficiency with various approaches in regression classification and
cluster analysis
Good understanding of applied statistics such as probability distributions measures of
dispersion and central tendency hypothesis testing and statistical inferences.
Demonstrate proficiency in at least one Deep learning technologies
Demonstrated Experience in at least in one of the following NLP/computer
vision/operations research/data mining/ML/AI
Must have experience ML models in R/ Python
Demonstrable strength in programming in Python/R/Scala
Should have good experience in Object oriente technologies and Design
Experience with one or more data visualization tool / library such as Tableau R Shiny Seaborn
etc
Expertise in SQL programming languages and familiarity with Hive Pig
Excellent quantitative skills and the ability to tell a story using data
Strong communication and presentation skills
Ability to initiate and drive projects from conception to completion with minimal guidance
Passionate about turning data into actionable insights
GOOD TO HAVE:
M.S. in Computer Science Math Physics Engineering Statistics or other quantitative or
computational field
Expertise in application of machine learning algorithms on large datasets
Experience with large datasets and distributed computing (Hadoop Spark) a plus
Experience accessing data mapreduce programming style and training models in Hadoop
Spark
Experience in deploying models in cloud platforms such as Google Cloud/Microsoft Azure/AWS
is a plus
Nice to have knowledge of NoSQL DBs like MongoDB Cassandra and HBase
Contribution to research community reflected in publications in top conferences/Kaggle
competitions
Knowledge of latest DL technologies
PERSONAL ATTRIBUTES
Strong written and verbal communication skills
Articulation skills
Good team player
Selfstarter who requires minimal oversight
Ability to prioritize and manage multiple tasks
Process orientation and the ability to define and set up processes
regression,cluster analysis,ml and deep learning,algorithims,python and r,statistics and cloud
Job tags
Salary
