Senior Data Scientist
Mumbai, India
Nielsen
A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.Responsibilities Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions, and create high-quality data visualizations for internal and external purposes. Research, design and implement analytic and mathematical approaches and algorithms to build scalable best of class web-based analytical solutions Design and test analytical modules for Nielsen modeling platforms. Partner with our Software Engineering department to build best-of-class web-based analytical solutions. Document and present methodology inside and outside the company. Design and prioritize work for smaller teams Mentor newly hired associates
Requirements PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Related field 4+ years experience in working in Data Science and/or Statistical analysis, Expertise in Python, Spark, SQL or other modern programming languages Experience in using machine learning libraries and techniques. Proficient in writing production grade code using scientific computing packages (e.g., NumPy, SciPy, Scikit-learn)Experience with Bayesian and Frequentist statistics Experience with cloud providers (e.g. AWS, Azure)Experience in code management, docker, and CI/CD pipelines. Experience with Num Pyro is a plus. Well-organized and capable of leading multiple mission-critical projects simultaneously while meeting deadlines Excellent oral and written communication skills Attention to detail – quality, and accuracy in all work and interactions Quick learner with a logical mindset and analytical thinking who is passionate about technology Experience in short-release life-cycle (agile processes including scrum)
Responsibilities
- Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions, and create high-quality data visualizations for internal and external purposes.
- Research, design and implement analytic and mathematical approaches and algorithms to build scalable best of class web-based analytical solutions
- Design and test analytical modules for Nielsen modeling platforms
- Partner with our Software Engineering department to build best-of-class web-based analytical solutions
- Document and present methodology inside and outside the company
- Design and prioritize work for smaller teams
- Mentor newly hired associates
Requirements
- PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Related field
- 4+ yrs experience in working in Data Science and/or Statistical analysis
- Expertise in Python, Spark, SQL or other modern programming languages
- Experience in using machine learning libraries and techniques
- Proficient in writing production grade code using scientific computing packages (e.g., NumPy, SciPy, Scikit-learn)
- Experience with Bayesian and Frequentist statistics
- Experience with cloud providers (e.g. AWS, Azure)
- Experience in code management, docker, and CI/CD pipelines
- Experience with NumPyro is a plus
- Well-organized and capable of leading multiple mission-critical projects simultaneously while meeting deadlines
- Excellent oral and written communication skillsAttention to detail – quality, and accuracy in all work and interactions
- Quick learner with a logical mindset and analytical thinking who is passionate about technology
- Experience in short-release life-cycle (agile processes including scrum)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Bayesian CI/CD Computer Science Docker Engineering Industrial Machine Learning Mathematics NumPy PhD Pipelines Python Research Scikit-learn SciPy Scrum Spark SQL Statistics
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs