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Analytics Modeler Job at Ford Motor Company | Apply Right Now

Job Role: Analytics Modeler Company: Ford Motor Company Salary: Not Disclosed Job Type: Full-time Location: Chennai Experience Required: 2 – 5 years   About Ford Motor Company Ford Motor Company is a global chief in automotive...
Posted in Blogs   •   Jobs
September 1, 2024
Analytics Modeler Job at Ford Motor Company | Apply Right Now
  • Job Role: Analytics Modeler
  • Company: Ford Motor Company
  • Salary: Not Disclosed
  • Job Type: Full-time
  • Location: Chennai
  • Experience Required: 2 – 5 years
 

About Ford Motor Company

Ford Motor Company is a global chief in automotive production and innovation, dedicated to shaping the destiny of mobility. Our vision is to make human beings’s lives better using making transportation greater handy, related, and sustainable. With a rich historical past of over a century inside the automobile enterprise, Ford continues to lead the way in current generation and car improvements. We are committed to imparting great services and products, enhancing consumer studies, and building a brighter future for generations to come.

Position Overview

Ford Motor Company is looking for a fairly skilled and encouraged Analytics Modeler to join our Data Analytics team. In this function, you’ll be answerable for growing, implementing, and optimizing superior analytics models that aid vital commercial enterprise selections. You will paint carefully with go-purposeful groups to understand business desires, gather requirements, and expand predictive and prescriptive fashions that power insights and inform strategic tasks. Your know-how in facts technology, machine getting-to-know, and statistical modelling may be important in leveraging huge datasets to create actionable insights and contribute to Ford’s vision of an information-driven future.

Key Responsibilities

  • Model Development: Design, broaden, and enforce advanced analytics fashions through the use of statistical, device studying, and deep mastering strategies. Leverage big datasets to create predictive models that remedy complex business issues and offer actionable insights.
  • Data Analysis: Perform exploratory records evaluation to pick out tendencies, styles, and anomalies in the statistics. Use statistical techniques to analyze and interpret records, supplying clean and concise findings that tell business decisions.
  • Data Preparation: Gather, clean, and preprocess statistics from various sources to make certain it’s far suitable for modeling. Develop and preserve data pipelines, ensuring records are first-class and integrity all through the modelling system.
  • Model Validation: Validate and evaluate the performance of models with the usage of suitable metrics and techniques. Conduct A/B testing and other validation strategies to make sure models are sturdy, accurate, and dependable.
  • Collaboration: Work closely with move-useful teams, such as commercial enterprise analysts, facts engineers, and domain specialists, to recognize commercial enterprise necessities and translate them into analytical solutions. Communicate complicated analytical standards and consequences to non-technical stakeholders efficiently.
  • Continuous Improvement: Stay updated with the latest improvements in information technology, gadgets gaining knowledge, and synthetic intelligence. Continuously explore new techniques, gear, and methodologies to improve model accuracy, efficiency, and scalability.
  • Reporting and Visualization: Develop reviews, dashboards, and information visualizations that communicate insights and model effects effectively. Use visualization tools to provide findings in a clear, compelling, and actionable way.
  • Documentation: Document model improvement methods, assumptions, methodologies, and outcomes. Maintain comprehensive facts of version parameters, validation effects, and any modifications made to ensure certain reproducibility and transparency.
  • Scalability and Deployment: Collaborate with IT and engineering groups to set up fashions in production environments. Ensure fashions are scalable, maintainable, and can be integrated with current systems and methods.
  • Problem-Solving: Use analytical wondering to resolve complex business issues and offer revolutionary solutions. Apply critical questioning competencies to troubleshoot troubles, optimize model overall performance, and enhance typical version effectiveness.

Qualifications and Skills

Educational Background: Bachelor’s diploma in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field. A Master’s or Ph.D. A diploma in an applicable area is exceptionally desired. Experience: Minimum of three years of enjoy in facts analytics, records technological know-how, or a comparable function. Experience in the automotive enterprise or a related discipline is effective. Technical Skills:
  • Proficiency in programming languages such as Python, R, SQL, or comparable.
  • Strong information on machine learning frameworks and libraries, together with TensorFlow, Keras, Scikit-Learn, or similar.
  • Experience with statistical modelling strategies, including regression, class, clustering, time series evaluation, and so forth.
  • Knowledge of records visualization tools such as Tableau, Power BI, or similar.
  • Experience with big statistics technologies inclusive of Hadoop, Spark, or comparable is a plus.
  • Familiarity with cloud computing structures like AWS, Azure, or Google Cloud is tremendous.
  • Analytical Skills: Strong analytical and hassle-solving abilities, with the capacity to interpret complicated records, become aware of styles, and provide actionable insights. Experience with speculation checking out, experimental design, and statistical analysis.
  • Communication Skills: Excellent verbal and written conversation capabilities. Ability to bring complicated technical principles to non-technical stakeholders definitely and concisely. Strong presentation abilities with the capability to create compelling visualizations and reports.
  • Attention to Detail: High degree of accuracy and attention to detail. Ability to paint with massive datasets and make certain records integrity at some point in the modelling procedure.
  • Team Player: Strong interpersonal abilities with the capacity to paint effectively in a collaborative group environment. Ability to build relationships with past-practical groups and have an effect on stakeholders at all ranges.
  • Adaptability: Ability to conform to changing priorities, control a couple of tasks simultaneously, and paint efficiently in a quick-paced environment. Demonstrated capacity to examine quickly and observe new skills and understanding.

Why Join Ford Motor Company?

  • Innovative Environment: Be a part of a group that is at the forefront of car innovation. Work on present-day projects that have an actual effect on the destiny of transportation and mobility.
  • Career Growth: Ford is committed to the expert increase and improvement of its employees. We provide non-stop studying possibilities, career development, and the threat to work on diverse and hard initiatives.
  • Collaborative Culture: Join a supportive and collaborative team that values variety, inclusivity, and mutual respect. We foster a subculture where all personnel experience valued, heard and empowered to contribute their first-class.
  • Competitive Compensation: Enjoy an aggressive profit package deal, which includes performance-based incentives, advantages, and perks. Ford offers complete fitness blessings, retirement plans, and extra to aid your proper well-being.
  • Work-Life Balance: We believe in keeping a healthy existence stable. Ford gives bendy work arrangements, generous holiday regulations, and wellness programs that will help you achieve your non-public and professional dreams.
  • Making a Difference: Be part of an organization that is dedicated to creating a fantastic effect on society and the environment. Ford is devoted to sustainability, social responsibility, and creating a higher global for destiny generations.
 
Analytics Modeler

Benefits at Ford Motor Company:

  • Health and Wellness: Ford affords medical, dental, and imaginative and prescient insurance, collectively with well-being applications, and gets proper access to health centres to promote healthful residing.
  • Retirement Plans: Employees can benefit from a competitive 401(k) plan with employer-matching contributions, assisting them prepare for a solid economic destiny.
  • Work-Life Balance: Ford promotes healthy work-existence stability through flexible work preparations, paid days off, and parental go-away.
  • Career Development: The enterprise invests in employee increases with academic help, management training, and opportunities for professional development.

Ford Motor Company is an Equal Opportunity Employer.

At Ford, we are devoted to constructing an inclusive and numerous place of business in which all employees are respected and valued. We encourage applications from all qualified candidates, irrespective of race, colour, faith, gender, sexual orientation, gender identity, age, national origin, disability, veteran reputation, or some other blanketed function.

How to Apply

  • Click “Apply Now ” on the job listing.
  • Redirect to their career portal or partner site.
  • Complete & Submit the application form.
  • Check your Email for confirmation.

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