Data Scientist (Statistical Modelling, Data Science Modelling, EDA, Performance Matrix, Python, Pyspark, Databricks, Azure, Airflow)

India / India / MH / Pune /

#: 744000087046791 / R25_0017767|IN

Mid-Senior Level

Full-Time

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.

https://jobs.smartrecruiters.com/NielsenIQ/744000087046791-data-scientist-statistical-modelling-data-science-modelling-eda-performance-matrix-python-pyspark-databricks-azure-airflow-