data science predictive modelling -ai /ml Job Vacancy in Randstad Bengaluru, Karnataka – Updated today

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Company Name : Randstad
Location : Bengaluru, Karnataka
Position :

Job Description : summary
randstad india
permanent
specialism
retail
reference number
JPC – 62929
job details
Job Description
Summary:
This role is positioned at the intersection of business and technology skill-sets for an individual looking for techno-managerial role in a vibrant work environment.
The person in this role will lead client communications, business development initiatives, and analytical solutioning. The person who will justify this role should be able to ramp-up fast on business and technology aspects, very articulate, innovative and should have a structured approach towards problem solving. Hands-on-work on coding, dash boarding, business presentations, analytical modelling should be regularly expected based on business requirements.
On the personal front, the person should be highly self-motivated, hard-working, articulate, passionate towards new solution building and able to lead, motivate, drive and at the same time handle multiple teams across subgroups and work with multiple stakeholders across legal, finance, pricing, marketing, and sales teams.
Job Description:
The ideal candidate would be adept at understanding customer’s business challenges and define appropriate analytics approach to design solution
Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions
This is a hands-on role, will be required to manage day to day delivery activities and guide team in executing analytics projects by analysing large volume of data
Research and bring innovations to develop next generation solutions in core functional areas related to Promotion Effectiveness, Forecasting with detrending methods, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc.
Provide technical thought leadership, coaching and mentorship in the field of data science in working with engineering and other cross functional teams
Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines
He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development
This role requires excellent communication skills.
Qualifications
Educational Criteria:
Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or
Bachelor of Engineering or MBA from Tier 1 institutions – Preferred
Additional information
Technical Experience: (not all technical exposures are expected from one individual)
Must Have:
Clustering, Decision Tree, Random Forest, Support Vector Machine, Naïve Bayes, GBM, XGBoost, Multiple linear regression, Logistic regression, ARIMA/ARIMAX
Tools: Python, SQL, Spark
Good to Have:
Hands on experience in developing models (end to end)
Model automation, Bayesian Inference/simulators, Bayesian Filters, GLM (Generalised Linear Models), GMM (Gaussian Mix Models) etc
Recommended system (ALS, MF, Collaborative filtering and Content Filtering), Deep Learning methods
Optimization Method like BFGS, differential evolutionary, MOO (multi objective optimization) etc
Sound understanding of mathematics like probability theory, differential calculus, Laplace and Furrier transformations etc
Tools: TensorFlow, big data, Experience on AWS platforms, Knowledge of any visualization tools like Tableau, Quick sight, Qlik sense, Power BI etc. is a plus
Functional/Domain Experience:Good exposure to Retail, and/or e-commerceRelevant Experience: 5+ years of hands on experience in CPG/Retail industry

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Job Description
Summary:
This role is positioned at the intersection of business and technology skill-sets for an individual looking for techno-managerial role in a vibrant work environment.
The person in this role will lead client communications, business development initiatives, and analytical solutioning. The person who will justify this role should be able to ramp-up fast on business and technology aspects, very articulate, innovative and should have a structured approach towards problem solving. Hands-on-work on coding, dash boarding, business presentations, analytical modelling should be regularly expected based on business requirements.
On the personal front, the person should be highly self-motivated, hard-working, articulate, passionate towards new solution building and able to lead, motivate, drive and at the same time handle multiple teams across subgroups and work with multiple stakeholders across legal, finance, pricing, marketing, and sales teams.
Job Description:
The ideal candidate would be adept at understanding customer’s business challenges and define appropriate analytics approach to design solution
Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions
This is a hands-on role, will be required to manage day to day delivery activities and guide team in executing analytics projects by analysing large volume of data
Research and bring innovations to develop next generation solutions in core functional areas related to Promotion Effectiveness, Forecasting with detrending methods, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc.
Provide technical thought leadership, coaching and mentorship in the field of data science in working with engineering and other cross functional teams
Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines
He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development
This role requires excellent communication skills.
Qualifications
Educational Criteria:
Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or
Bachelor of Engineering or MBA from Tier 1 institutions – Preferred
Additional information
Technical Experience: (not all technical exposures are expected from one individual)
Must Have:
Clustering, Decision Tree, Random Forest, Support Vector Machine, Naïve Bayes, GBM, XGBoost, Multiple linear regression, Logistic regression, ARIMA/ARIMAX
Tools: Python, SQL, Spark
Good to Have:
Hands on experience in developing models (end to end)
Model automation, Bayesian Inference/simulators, Bayesian Filters, GLM (Generalised Linear Models), GMM (Gaussian Mix Models) etc
Recommended system (ALS, MF, Collaborative filtering and Content Filtering), Deep Learning methods
Optimization Method like BFGS, differential evolutionary, MOO (multi objective optimization) etc
Sound understanding of mathematics like probability theory, differential calculus, Laplace and Furrier transformations etc
Tools: TensorFlow, big data, Experience on AWS platforms, Knowledge of any visualization tools like Tableau, Quick sight, Qlik sense, Power BI etc. is a plus
Functional/Domain Experience:Good exposure to Retail, and/or e-commerceRelevant Experience: 5+ years of hands on experience in CPG/Retail industry

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experience
12
skills
artificial intelligence
Predictive modelling
Machinelearning
qualifications
M.E/M.Tech
B.E/B.Tech
B.Sc
MCA
BCA
BBA
MS/M.Sc(Science)

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