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Data Scientist I Jobs in Pune - UST

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Data Scientist I
UST
UST
Last Date 08 Jun 2021
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UST - Job Details

Date of posting: 08 Apr 21
Role Proficiency

Job Description

Under supervision leverage data to arrive at business solutions and creates prototypes of the solution to define analytics roadmap for clients thereby bringing in business to the organization.

Outcomes
  • Work with stakeholders and creates quick prototypes of the solution to define analytics roadmap.
  • Work with business to understand business domain and convert business problems into analytics problem
  • Create or use existing frameworks to test and validate new models
  • Explain models and put results in easy to interpret manner such that non-analytic person can understand
  • Turn data into information that can improve current workflow or processes that will help to make better business decisions. Generate business insights to help clients with decision making.
  • Adhere to best practices of coding
  • Set FAST goals and provide feedback on FAST goals of reportees
Measures Of Outcomes
  • Schedule Adherence
  • Quality of code and other deliverables
  • Number of reusable components developed
  • Number of new analytics solutions that got approved for further development 
Outputs Expected

Statistical Techniques:
  • Apply statistical techniques like regression properties of distributions statistical tests etc. to analyse data.
Machine Learning Techniques
  • Apply machine learning techniques like clustering decision tree learning artificial neural networks etc to streamline data analysis.
Creating Advanced Algorithms
  • Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc.
Data Visualization
  • Visualizing/presenting data for stakeholders using: Periscope Business Objects D3 ggplot etc.
Management And Strategy
  • Oversees the activities of analyst personnel and ensures the efficient execution of their duties.
Critical Business Insights
  • Mines the business’s database in search of critical business insights and communicates findings to the relevant departments.
Code
  • Creating efficient and reusable code meant for the improvement manipulation and analysis of data.
Version Control
  • Manages project codebase through a version control tool like git bitbucket etc.
Predictive Analytics
  • Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis
Prescriptive Analytics
  • Attempts to identify what business action to take
Create Reports
  • Create reports depicting the trends and behaviours from the analysed data
  • Training end users on new reports and dashboards.
  • Set FAST goals and provide feedback to FAST goals of mentees
Document
  • Create documentation for own work as well as perform peer review of documentation of others' work
Manage Knowledge
  • Consume and contribute to project related documents share point libraries client universities
Status Reporting
  • Report status of tasks assigned
  • Comply to project related reporting standards/process
Solution Architecture
  • Create modular architecture such that it can be reused easily across projects.
Analysis
  • Report trends for anomalies outliers trend changes and opportunities from a given data set
Data Gathering
  • Partner with business and gather relevant data
Modelling
  • Data models and experiments for solving business problems
Stakeholder Management
  • Explain findings to both technical and nontechnical stakeholder.
New Business Development
  • Create solution architecture and quick prototypes to explain analytics roadmap to a business team.
Team Management
  • Increase team productivity by upskilling them technically.
Skill Examples
  • Excellent pattern recognition and predictive modelling skills
  • Extensive background in data mining and statistical analysis
  • Expertise in machine learning techniques and creating algorithms.
  • Ability to work with structured semi-structured and unstructured datasets.
  • Ability to learn and implement new Data Science algorithms in a fast turnaround time
  • Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching.
  • Communication Skills: Communicate effectively with diverse people at various organization levels with the right level of detail.
  • Critical Thinking: Data analysts must look at the numbers trends and data and come to new conclusions based on the findings.
  • Strong meeting facilitation skills as well as presentation skills.
  • Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions.
  • Mathematical Skills to estimate numerical data.
  • Work in a team environment
  • Ask proactively for help and offer help proactively
  • Break big problem into small components and define the solution architecture.
  • Explains complex models (like CNN RNN XGBoost etc.) in a manner which is easy to understand for a nontechnical stakeholder.
  • Have good understanding of known data science tools and technology like H20 Neo4j PySpark etc.
Knowledge Examples

Knowledge Examples
  • Programming languages – Java/ Python/ R.
  • Web Services - Redshift S3 Spark DigitalOcean etc.
  • Statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc.
  • Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights etc.
  • Computing Tools - Map/Reduce Hadoop Hive Spark Gurobi MySQL etc.
  • Database languages such as SQL NoSQL
  • Analytical tools and languages such as SAS & Mahout.
  • Practical experience with ETL data processing etc.
  • Proficiency in MATLAB.
  • Data visualization software such as Tableau or Qlik.
  • Proficient in Mathematics and Calculations.
  • Spreadsheet tools such as Microsoft Excel or Google Sheets
  • DBMS
  • Operating Systems and software platforms
  • Knowledge about customer domain and about sub domain where problem is solved
  • Proficient on atleast 1 version control tool like git bitbucket
  • Have experience working with project management tool like Jira
  • Data Science based high performance application development knowledge is required.
  • NLP and Computer Vision tools and libraries – OpenCV spaCY Transformers Attention models etc.

Job Summary

Job Type : 0
Job Category : IT/Software
Hiring Process : Face to Face Interview
Who can apply : Freshers and Experienced (0 to 3 yrs )

About UST

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