| Company: | Ford |
|---|---|
| Job Role: | Analytics Modeler(Machine Learning) |
| Experience: | (3-5years): |
| Vacancy: | 3+ |
| Qualification: | BA,BE/BTech,MSC, MBA |
| Salary: | Upto Rs.80000 |
| Location: | Chennai,India |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Start Date: | 28-06-2021 |
- Passage has been making in India, for India and the world, at its coordinated assembling offices in Chennai, Tamil Nadu and Sanand, Gujarat. The organization, since starting tasks in India in 1995, has contributed more than US$ 2 billion and is focused on building a feasible, productive business in one of the world's quickest developing auto business sectors.
- Today, Ford India's incorporated assembling office at Maraimalai Nagar, close to Chennai, produces grant winning scope of items including the Ford EcoSport and Ford Endeavor. The elite assembling plant in Sanand produces Ford Figo, Ford Aspire and Ford Freestyle.
Job Description:
GDIA Mission and Scope-
The Global Data Insights and Analytics (GDI&A) office at Ford Motor Company is searching for qualified individuals who can foster adaptable answers for complex certifiable issues utilizing Statistics, Econometrics, Machine Learning, Big Data, and Optimization. The objective of GDI&A is to drive proof based dynamic by giving bits of knowledge from information. Applications for GDI&A incorporate, yet are not restricted to, Customer Analytics, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
Jobs and Responsibilities
• Develop measurable techniques and send scientific devices to help diverse business drives
• Continual upgrade of factual procedures and their applications in settling business destinations
• Compile and investigate the outcomes from displaying yield and convert into significant experiences
• Acquire and offer profound information on information used by the group and its colleagues
• Participate in worldwide telephone calls and gatherings on a case by case basis and deal with various client interfaces
• Execute investigation unique examinations and impromptu investigations
• Evaluate new devices and innovations to work on logical cycles
• Set own needs and courses of events to achieve projects (responsibility for project expectations)
Endeavors will zero in on the accompanying key regions:
• Various old style Statistical methods, for example, Regression, Multivariate Analysis and so on
• Data Mining and Text Mining
• Time Series based anticipating displaying
• Customer Segmentation – Cluster and Factor Analysis
• Customer Relationship Management Analytics
• Demand Modeling
• Statistical Scoring models to be utilized in Risk/Marketing spaces
• Market Mix Modeling
• Structural condition demonstrating for distinguishing gas pedals of consumer loyalty and dedication
Key practices:
• Enthusiastic and self-inspired, with capacity to lead projects proactively
• Meticulous meticulousness, with a general energy for persistent improvement
• Innovative and inventive, with a consistent and orderly way to deal with critical thinking
• Credible and articulate, with phenomenal correspondence, show and relational abilities
• Ability to perform various tasks and oversee contending needs
Prerequisites
• Candidates ought to have critical active involvement in examination projects utilizing Machine Learning (Random Forest, Gradient Boosting Techniques, Neural Network Analysis, and so on)/progressed Statistical/Econometrics/Operation Research or related quantitative procedures across different capacities
• Candidates will be relied upon to effectively focus on and deal with numerous insightful undertakings/impromptu demands
• Good specialized profundity with solid logical/programming abilities and capacity to apply specialized information to do explore
• R/Python/SAS or other quantitative examination programming abilities
Instructive Qualification:
Postgraduate education (Masters or PhD) in Statistics/Econometrics/Operation Research or some other quantitative control or an Engineering certificate with MBA from a head foundation and quantitative accentuation
Auto req ID
46799BR
Element/Organization
FGBS-Ford Global Business Services
Space of expert openness (specialized abilities)
• Candidates ought to have critical involved involvement in examination projects utilizing progressed Machine Learning/Statistical/Econometrics/Operation Research or related quantitative procedures across different capacities
• Candidates will be required to effectively focus on and deal with different logical undertakings/specially appointed solicitations
• Good specialized profundity with solid logical/programming abilities and capacity to apply specialized information to do investigate
• R/SAS/Python or other quantitative examination programming abilities
Instruction Qualifications
B.A., B.E., B.Tech., M.Sc, MBA
No. of long stretches of involvement
3 to 5 years
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