Data Scientist

Rhineland-Palatinate, Ludwigshafen am Rhein  ‐ Onsite
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Description

• To play a key role in TechM’s business analytics team for customer. Participate in Identifying valuable data sources and automate collection processes complemented by an understanding of theoretical and technical aspects of business.
• Preferred Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field
• Support delivery of one or more data science use cases, leading on data discovery and model building activities. Conceptualize and quickly build POC on new product ideas - should be willing to work as an individual contributor as well as team player.
• Develop new predictive models, machine-learning algorithms and complement existing framework to generate sound strategic insights from multiple, complex raw data feeds, using expert understanding of analytical and statistical data analysis techniques.
• To work across the business with engineering, infrastructure and service management teams to support strategy development and leading initiatives that will help customer achieve the strategic objectives.
• Responding to RFPs, pitching new solutions and driving business growth

Essential Skills
• Proven experience as a Data Scientist or Data Analyst
• Minimum 3+ years of hands-on experience with statistical software tools: SQL, R, Python
• 3+ years’ experience in business analytics, forecasting or business planning with emphasis on analytical modeling, quantitative reasoning and metrics reporting
• Experience working with large data sets in order to extract business insights or build predictive models
• Proficiency in one or more statistical tools/languages – Python, Scala, R, SPSS or SAS and related packages like Pandas, SciPy/Scikit-learn, NumPy etc.
• Good data intuition / analysis skills; sql, plsql knowledge must
• Manage and transform variety of datasets to cleanse, join, aggregate the datasets
• Hands-on experience running in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics)
• Deep domain (BFSI, Manufacturing, Auto, Airlines, Supply Chain, Retail & CPG) knowledge preferred
• Excellent communication and presentation skills
• Demonstrated ability to work under time constraints while delivering incremental value
Start date
2020
From
Adroit People Ltd
Published at
18.03.2020
Contact person:
Hema S
Project ID:
1910756
Contract type
Permanent
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