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Senior Data Scientist - Marketing

Infosys

Infosys

Marketing & Communications, Data Science
Hartford, CT, USA · Indianapolis, IN, USA · Raleigh, NC, USA · Richardson, TX, USA · Tempe, AZ, USA · United States
Posted on Dec 31, 2024

Job details

Country

USA


State / Region / Province

Arizona, Connecticut, Indiana, North Carolina, Texas


Work Location

Hartford, CT, Indianapolis, IN, Raleigh, NC, Richardson, TX, Tempe, AZ


Domain

Delivery


Interest Group

Infosys Limited


Skills

Technology|Cloud Platform|Azure AI Services, Technology|Machine Learning|Python


Company

ITL USA


Requisition ID

127367BR


Job description

Infosys is seeking a highly skilled and motivated Senior Data Scientist specializing in Marketing Data Science to join our team. The ideal candidate will harness advanced analytics, machine learning, and data-driven methodologies to enhance supply chain efficiency, reduce costs, and optimize performance. As a key player, you will work collaboratively with stakeholders to solve complex supply chain challenges and deliver impactful solutions that drive business success.

Required Qualifications:

  • 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.
  • At least 4 years of experience in Information Technology
  • All applicants authorized to work in the United States are encouraged to apply.
  • Candidate must live within commuting distance of Raleigh, NC or Tempe, AZ Or Hartford, CT or Richardson, Tx or Indianapolis, IN or be willing to relocate. Travel within the US may be required.
  • At least 3 years of experience in programming languages such as Python, SQL and experience with data visualization tools like Tableau or Power BI.
  • At least 3 years of experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services.
  • At least 1 years of experience in data science with a focus on marketing analytics, customer analytics, or digital marketing strategies, including leadership roles.
  • At least 1 years of experience in marketing domains such as customer segmentation, campaign optimization, media mix modeling, attribution modeling, and A/B testing.
  • At least 1 years of experience in machine learning frameworks, natural language processing (NLP), personalization algorithms, and sentiment analysis.
Preferred Qualifications:
  • Experience in marketing automation platforms (e.g., Salesforce Marketing Cloud, HubSpot, Marketo), CDPs (Customer Data Platforms), and CRM systems
  • Advanced degree (Master’s or Ph.D.) in Data Science, Marketing, Statistics, Computer Science, or a related field.
  • Experience in integration of first-party, second-party, and third-party data to deliver actionable insights and improve marketing effectiveness.
  • Experienced in Agile way of working, manage team effort and track through JIRA
  • High Impact client communication
  • Experience working in a consulting environment is highly desirable.
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.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.