Senior AI/ML Data Scientist I (P3)

About the Position

Senior AI/ML Data Scientist I (P3)

At Nielsen, we are seeking a Data Scientist to join our team. Are you passionate about pushing the boundaries with the latest advancements in AI/ML? Does the prospect of applying cutting-edge AI research to develop industry-defining software solutions for audience measurement excite you?

In this role, you will be at the forefront of our mission, leveraging sophisticated machine learning and AI to deliver a comprehensive understanding of audience behavior. You will architect and implement AI/ML systems that unlock novel insights from complex audience data.

Responsibilities

• Model Development: Lead the development and implementation of data science solutions. Design, develop, train, and validate classical machine learning models to solve specific business problems.
• Data Preprocessing & Feature Engineering: Perform extensive data cleaning, transformation, and feature engineering to prepare diverse datasets for model training.
• Exploratory Data Analysis (EDA): Conduct thorough EDA to understand data characteristics, identify patterns, anomalies, and relationships, and inform model selection and development.
• Model Evaluation & Optimization: Implement rigorous model evaluation techniques and metrics to assess model performance and optimize models for production.
• Production Deployment (MLOps Fundamentals): Collaborate with MLOps/DevOps teams to integrate, deploy, and monitor classical ML models in production environments.
• Algorithm Selection & Customization: Research and select appropriate classical ML algorithms based on problem type, data characteristics, and performance requirements.
• Deep Learning and Neural Networks: Understand and implement deep learning architectures for tasks like image recognition, natural language processing, and sequence modeling.
• Documentation & Communication: Document models, methodologies, and results clearly and concisely. Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Research & Innovation: Stay updated with the latest advancements in classical machine learning, statistical modeling, and data science best practices. Mentor junior data scientists and contribute to a culture of continuous learning and improvement.
• Collaboration: Collaborate with cross-functional teams to define project requirements and deliver impactful results.

Requirements

• Education: Bachelor's or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Experience: 5 to 9 years of hands-on experience in developing and deploying AI/ML models.
• Skills:
  • Python: Proficiency in Python with extensive experience in libraries such as Scikit-learn, Pandas & NumPy, Matplotlib, Seaborn, SciPy.
  • Statistical Modeling: Strong grasp of statistical concepts including hypothesis testing, probability distributions, regression analysis, and inferential statistics.
  • Data Preprocessing & Feature Engineering: Proven ability to handle missing data, outliers, categorical variables, scaling, normalization, and create impactful features from raw data.
  • SQL: Solid proficiency in SQL for data extraction, manipulation, and analysis from relational databases.
  • Classical Machine Learning: Thorough understanding of supervised learning and various evaluation metrics for classification and regression.
  • Version Control: Experience with Git and collaborative development workflows.
  • Problem Solving: Excellent analytical and problem-solving skills.
  • Communication: Strong verbal and written communication skills.

Nice to Have

• Deep Learning: Experience with deep learning architectures (CNNs, LSTMs, Transformers).
• MLOps: Good understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management.
• Cloud Computing: Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services.
• Video Processing: Experience with video processing and analysis techniques.
• Data Pipeline Tools: Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka).

We Offer

• Competitive Salary: Compensation package commensurate with experience and qualifications.
• Professional Growth: Opportunities for continuous learning and career advancement.
• Collaborative Environment: Work with a talented, global workforce dedicated to capturing audience engagement with content.

About the Company

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

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