Shell Bulk Hiring 2023 | for Data Science Analyst

Shell Bulk Hiring 2023 :- The Post of Data Science Analyst Trainee from can apply for Interested and eligible candidates can read more details below.

Shell Bulk Hiring 2023

Company NameShell
Post NameData Science Analyst
DegreeBE, B Tech, BA, B COM, BBA, BSC, BCA, ME, M Tech, MCA, MA, M COM, MSC, Any Graduate
BranchAny Branches
Batch2018,20219, 2020, 2021, 2022, 2023
Salary INR 15 .5 LPA 
ExperienceFresher
Location Bangaalore/ Chennai

Job Description

General Position Definition

  • Finance & Data Operations Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision making.
  • This position is part of Finance & Data Operations Data Science team leading a team of data scientists delivering advanced analytics projects for different businesses within Shell. The individual will join a growing global data science team spanning both on/offshore.
  • Incumbent is responsible for supporting the development of analytical models for projects collaborating with different business stakeholders & other partners and working across a range of technologies and tools.
  • The ideal candidate has good background in quantitative skills (like statistics, mathematics, advanced computing) and has applied those skills in solving real world problems

Purpose

  • Support the Data Analytics team in design and execution of analytics projects
  • Work with data and technology experts to help execute analytics projects and deploy solutions

 

 

Infosys Recruitment Drive 2023:- Click Here

 

Selection Process For Drive:-

  • Online Application Submission
  • Online Test- Aptitude Test, Technical Test
  • Interview
  • Selection 

 

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Modeling and Technology Skills

  • Knowledge and hands on experience in any of the following machine learning techniques (supervised and unsupervised) statistics / mathematics / operations research including (but not limited to):
    • Advanced Machine learning techniques: Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. Theme deduction, sentiment analysis, Topic Modeling), Natural Language Generation
    • Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Logit/Probit Model, Affinity & Association, Time Series, DoE, distribution / probability theory
    • Operations Research: Sensitivity Analysis – Shadow price, Allowable decrease or increase, Transportation problem & variants, Allocation Problem & variants, Selection problem, Multi-criteria decision-making, models, DEA, Employee Scheduling, Knapsack problem, Supply Chain Problem & variants, Location Selection, Network designing – VRP, TSP, Heuristics Modeling
    • Risk: Simulation design and high-performance computing, GARCH modeling, Macro-economic / Market behavior modeling

 

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