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Data Scientist

Местоположение и тип занятости

Нижний НовгородПолный рабочий день

Компания

Крупный разработчик решений для автоиндустрии и производителей мобильных устройств

Описание вакансии

Условия работы

About the Role

We’re seeking a talented and motivated Data Scientist for advanced car driver state analytics. You will be responsible for translating complex analytical concepts into actionable results. As a Data Scientist you will work with a world-class multidisciplinary team to design and develop large-scale data mining algorithms, extract, transform and search for typical patterns in biosignal big data. Provide technical expertise and business consultative skills to address supervised and unsupervised learning problems in an applied automotive analytics environments. You will be involved in the development and execution of all data management functions and statistical analysis relating to novel human state analysis systems being designed. You will also be directly responsible for preparing, analyzing and generating effective project results in an efficient and errorless manner using classical statistical techniques as well as advanced tools, delivered on time and on budget.

What You Will Do

  • Provide data/report support for complex data mining projects.
  • Conceptualize problems, apply appropriate theory, explore approaches, simulate, and implement with minimal supervision.
  • Define data needs, evaluate data quality, and extract/transform data for analytic projects and research.
  • Leverage R, Python, SQL, & Excel to dig into data to extract meaning from information.
  • Interface closely with Marketing Systems and Operations to understand/define requirements, domain knowledge/models, and data needs.
  • Produce appropriate and effective project deliverables including: sample diagnostics, driver state markers, complex queries, data mining, model algorithms, charts, modelscore distributions, etc., with some supervision and zero defect.
  • Demonstrate a strong understanding of project scope, data extraction methodology, design of dependent and profile variables, logic and design of data cleaning, exploratory data analysis and statistical methods.
  • Produce timely and error-free deliverables in an efficient manner, managing multiple tasks and varying project scopes.

What You Need

  • Advanced Degree in MS Mathematics, Statistics or MBA preferred.
  • Experience working with large volumes of data, preferably in auto, healthcare, retail or e-commerce industry
  • 5+ years' experience in Predictive Modeling & Data Mining; Competitive/Customer Intelligence; Statistical Model Development; Analytics (Predictive Analytics); Big Data; and High Performance Computing
  • Minimum 3 years of experience in IT industry with a focus on Statistics or Analytics
  • Strong Python, and R skills. Scala is a plus.
  • Preferred disciplines of study include Economics/Econometrics, Statistics, Management Sciences, Decision Sciences, or Mathematics.
  • Must be able to identify data relationships, trends, and anomalies.
  • Fluent English
  • Strong written and verbal communication skills.
  • Ability to interpret and articulate analytical results
  • Related Knowledge Base includes ability to show value of analytics within business processes, regression (linear, logistic, multinomial, censored), test Design/Design of Experiments, segmentation and clustering, decision tree analysis, mathematical programming and optimization, optimization

What Makes You Eligible

  • Be willing to travel domestically and internationally
  • Be willing to work in our R&D center in Nizhny Novgorod

Бонусы

What We Offer

Work in our international team on brand new projects and using cutting edge technologies. Our employees get soft skills’ and technical trainings. We grant a package of additional benefits, such as flexible working time, medical insurance, English classes, HARMAN and Samsung products’ discount program, sport and event programs. We also grant Relocation package for candidates from other cities, composed of monetary bonuses and organizational assistance.