Associate Principal -Data Science at Infosys Limited in Atlanta, Georgia

Posted in General Business 12 days ago.

Type: Full-Time





Job Description:

Infosys is seeking a Data Scientist / Data Science Lead with strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in areas such as customer loyalty, personalization and recommendations, customer segmentation and profiling, Sales Calls, E-mail and Direct mail targeting, retention analysis, churn assessment etc. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:


  • Candidate must be located within commuting distance of Atlanta, GA or be willing to relocate to the area.

  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

  • US citizens and those authorized to work in the US are encouraged to apply.

  • At least 7 years of experience with Information Technology

  • Very Strong experience in Assess, clean, merge, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging R, Python and/or Azure ML, GCP, AWS etc.

  • At least 5 years of experience with statistical analysis tools (e.g. R, Python) and hands on experience in Statistical techniques such as Decision Tree, Logistic and Multiple Regression, and others

  • At least 5 years of experience in Selecting features, building, and optimizing classifiers using machine learning techniques

  • At least 5 years of experience in Design, Develop and Deploy advanced machine learning and Artificial Intelligence algorithms/predictive models for use in digital marketing

  • At least 5 years of experience in Analytical understanding and hands on experience in developing Multi Touch Attribution models, Media Mix Modelling, Basket Analysis etc.

Preferred Qualifications:

  • Exposure to clickstream data and customer analytics predictive modelling - Cross-selling and upselling models, Shopper intent prediction, Conversion goal prediction, Segmentation, Purchase propensity, Churn, content recommendations etc.

  • Experience of Campaign Analysis across digital channels like social media, Web Analytics, PPC, Email, SEO etc. and knowledge of marketing concept like Segmentation, Targeting, Positioning, Personalization etc. is desirable.

  • Business processes proficiency to understand the requirements for the business and translates this into an appropriate technical solution using suitable analytical tools. Create advanced processes/procedures and recommend new tools/technologies.

  • Guides and provides direction to team members comprised of junior analysts

The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

To learn more about Infosys and see our ideas in action please visit us at www.Infosys.com

Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.





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