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20/05 Sebatini Kaviya
Delivery Lead at Randstad

Views:1057 Applications:180 Rec. Actions:Recruiter Actions:146

Data Scientist - Manufacturing/Auto/Infra/Oil & Gas Sector (8-16 yrs) Premium

Bangalore/Chennai/Gurgaon/Gurugram/Hyderabad/Kolkata/Mumbai/Pune Job Code: 823404

Job Description:


- Lead the execution of analytics projects within the portfolio

- Design and articulate the data science solution relevant to the business problem/opportunity

- Lead the identification of appropriate data science models and evaluate their fitment for the available data

- Articulate the insights from the models in business-friendly language and explain the workings of the model for business adoption

- Provide support to the business value manager in managing the portfolio

Modeling and Technology Skills:

- Deep expertise in 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 and/or.

- 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 and/or.

- 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 and/or.

- Risk: Simulation design and high-performance computing, GARCH modeling, Macro-economic / Market behavior modeling and/or.

Strong experience in specialized analytics tools and technologies (including, but not limited to):

- SAS, Python, R, SPSS (preferably 2 out of 4)

- Spotfire, Tableau, Qlickview

- For Operations Research (AIMS, Cplex, Matlab)

- Awareness of Data Bricks, Apache Spark, Hadoop

- Awareness of Agile / Scrum ways of working

- Identify the right modeling approach(es) for the given scenario and articulate why the approach fits

- Assess data availability and modeling feasibility

- Review interpretation of models results

- Evaluate model fit and based on business/function scenario

 Proficiency Level: Mastery

Women-friendly workplace:

Maternity and Paternity Benefits

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