NielsenIQ

Data Scientist

NielsenIQ
Pune
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 3 yearsMin. 3 years

Job Description

Data Scientist

Job Description

As a Data Scientist you will deliver analytics on top of unique data sets using a state-of-the-art tech stack. A perfect playground for creative minds who have fun shaping things. You will work in a stable agile team delivering small, incremental improvements through continuous delivery pipelines. You will get the chance to advise internal and external clients in the field of Media, helping them to translate requirements into analytical solutions. You will do feasibility checks and put them on stage by productizing the work within our existing system landscape. Your colleagues are experienced Data Scientists and Engineers who will happily share their knowledge but are also keen to learn from your experience. Moreover, you will be part of the Global Data Science community, all ready to challenge and be challenged by your skills.

 

As Data Scientist you will have following main accountabilities:

 

You own several of our Data Science solutions throughout the full life cycle (brainstorming, design, implementation, productization and maintenance)
You develop solutions based on data science, stats and machine learning models
You improve methods and tools. Contribute to our communities of practice in the area of Data Science
Communicate with non-data scientists in Tech, Operations, Commercial, Product. Understand the domain and the requirements. Explain Data Science principles, concepts, algorithms, and approaches in simple words to different types of audiences
Make data your best friends. Understand their strengths and use them. Be aware of their weaknesses and handle those in your solutions
Screen the market for potential new Data Science approaches
Foster knowledge exchange within the company. Present NIQ's Data Science expertise at conferences and workshops

Qualifications

  • Master’s or PhD in Statistics, Data Science, Mathematics, Computer Science, or a related field
  • 3+ years of experience in data science, preferably in marketing or customer analytics
  • Proven expertise in developing and applying models for causal inference, clustering, classification, imputation, regression, predictive analytics, and marketing attribution
  • Proficiency in Python or R and SQL
  • Experience with version control systems (Git, GitHub, GitLab)
  • Strong analytical skills
  • Strong communication skills and ability to translate complex data into actionable insights

Besides the things we really expect you to have, there are some things which would be amazing if you have experience with them:

  • Experience in the Media industry
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment tools.
  • Knowledge of privacy regulations (e.g., GDPR, CCPA) and ethical data use.

Additional Information

  • Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
  • Recharge and revitalize with help of wellness plans made for you and your family.
  • Plan your future with financial wellness tools.
  • Stay relevant and upskill yourself with career development opportunities.

 

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Experience Level

Mid Level

Job role

Work location
Work locationPune, MH, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 3 years

About company

Name
NameNielsenIQ
Job posted by NielsenIQ

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