• SERVICE TECHNICIANS Jobs in Pune - 8976856

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Job Description:

    COMPANY OVERVIEW

    RSi is a leading provider of retail data science based analytics and a big data management platform which helps top retailers and CPG companies manage their supply chain and marketing initiatives to drive sales results. Using machine learning , streaming analytics and predictive models , we are the go - to cloud based; peta - scale SaaS data management platform in the retail industry. Join our team as a Senior Data Scientist and join a global innovative technology leader with a strong presence in Pune , India.

    POSITION SUMMARY:

    The Data Scientist will drive and participate in the design and implementation of algorithms working with the

    retail and supply chain data. This needs knowledge of statistical modeling , data mining , and machine learning

    concepts , and includes understanding business requirements , conducting advanced data analysis , designing

    algorithms , providing algorithm specifications and also the corresponding tweaking / tuning guidelines.

    The Data Scientist is responsible for helping on defining and performing advanced analyses against large and

    varying data sets related to retail sales and operations in support of various Retail Solutions customer driven

    solution creation. The objective of these analyses will be to answer important business questions and should

    result in input parameters and / or new algorithms to be leveraged in highly - sophisticated analytic applications.

    This individual will work closely with a team of product manager , R&D , and software engineers to provide the

    solution.

    RSi is growing rapidly , and the work atmosphere is team - oriented and knowledge - intensive: motivated

    professionals are highly appreciated.

    ESSENTIAL DUTIES AND RESPONSIBILITIES:

    Analyze the various data sets , based on the business goal , find the characteristics of the data and create

    proper advanced models for them.

    Develop and implement algorithms to solve business problems.

    Tweaking / tuning the model for better accuracy , performance , etc.

    QUALIFICATIONS:

    Master Degree or higher in Statistics with courses completed on the Machine Learning , Statistics , Prediction

    algorithms and / or related areas.

    2 years of Working experiences on industrial analytical areas especially big data analytics (Statistical

    Modeling , Machine Learning and Predictive Analysis).

    Knowledge and experiences in the supply chain area is very preferred.

    Having knowledge on the Statistics , Predictive Analysis and Modeling , Machine Learning and / or related areas ,

    and having projected completed on those areas.

    Familiar with R and / or Python programming , can use R / Python to create analysis programs using linear

    regression , pattern recognition , machine learning methods.

    Having basic SQL knowledge and skills , can write SQL queries for retrieving the data from the data repository

    DB.

    Experiences in elastic computing platform is preferred such as Scala programming on Spark.

    Having knowledge and experiences on Software Engineering is a plus.

    Having data visualization and representation skills.

    Experience developing data - driven analytical models of various operations / policies.

    Fluent oral and written communication skills in English.

    A team - worker , willing to work with colleagues.

    Personal Attributes

    Good written and oral communication skills

    Strong scientific documentation skills

    Good interpersonal skills

    Ability to present ideas in user - friendly language

    Highly self - motivated and directed

    Keen attention to detail

Profile Summary:

Employment Type : Full Time
Eligibility : B.Tech/B.E.,
M.Tech
Industry : IT-Software, Software Services
Functional Area : IT Software - Application Programming / Maintenance
Role : Software Developer
Deadline : 28th Jul 2019

Key Skills:

Desired Candidate Profile:

Please refer to the Job description above

Company Profile:

Retail solution

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