Requirements - GC holder or USC required
Senior Data Scientist
The Senior Data Scientist plays a critical role in shaping the future of business by developing algorithms and
models that forecast trends and translate business needs into actionable analytics for executive decision-making.
With a strong foundation in AI/ML and pricing optimization, this role leads ML model experimentation — scaling
sensitivity-to-elasticity experiments across more markets simultaneously — while driving model measurement,
tuning, and pilot measurement strategy. By conducting large-scale experiments, the Senior Data Scientist
addresses complex business questions and uncovers hidden relationships within extensive datasets.
Responsibilities
- Perform Exploratory Data Analysis (EDA) and initial investigations on data to discover patterns, spot anomalies, and check assumptions
- Build predictive models using statistical and machine learning techniques, with a focus on pricing optimization and elasticity modeling
- Augment ML model experimentation by scaling sensitivity-to-elasticity analyses, enabling more experiments and markets to run concurrently
- Design and execute pilot measurement strategies to evaluate model performance in live environments before full deployment
- Continuously measure, monitor, tune, and optimize models within the production environment to ensure health, accuracy, and business impact
- Create visual representations of data to communicate findings effectively and share with other Data Scientists for input and storytelling
- Work with cross-functional teams, including engineers, service owners, product owners, product managers, and business stakeholders, to understand data needs and challenges
- Prepare reports and presentations to convey insights and recommendations
- Gather data from various sources and ensure its quality and integrity
- Stay updated with the latest tools, techniques, and industry trends in data science and AI/ML and bring ideas to the table for how to improve the use of data and analytics
- Design and execute comprehensive data analyses using advanced methodologies and statistical modeling to produce insightful reports essential for strategic planning
- Utilize analytical tools and hypothesis-driven analysis to enhance machine learning projects
- Implement cutting-edge AI techniques to boost data analysis efficiency
- Perform data sampling
Requirements
- Bachelor's degree in Mathematics, Statistics, Computer Science, or related field; master's degree preferred
- 5+ years of relevant quantitative and qualitative research, analytics, data science, or machine learning experience
- Demonstrated experience with pricing optimization models and elasticity analysis
- Experience and solid understanding of machine learning algorithms and relational databases
- Experience with data science modeling, statistics, analytics, business intelligence, or data-driven business strategy
- Proven experience in model measurement, monitoring, and tuning within a production environment
- Experience managing and delivering complex and technical products
- Experience performing statistical analysis and applying visualization techniques
- Native-level proficiency/fluency in English
Preferred Skills
- Knowledge of data models and structures, as well as database design tools and query languages
- Knowledge of multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, and SPSS
- Knowledge of statistical and data mining techniques such as generalized linear models (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural networks (CNN), and recurrent neural networks (RNN)
- Strong working knowledge of AI/ML techniques with the ability to flex between data science and applied ML roles as business needs evolve
- Experience designing and executing pilot measurement strategies and evaluating experiment results at scale across multiple markets
- Basic knowledge of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
- Demonstrated communication, collaboration, and stakeholder management skills to build strong relationships with IT and the business
- Demonstrated data analysis and data modeling skills to identify patterns, trends, and solutions to complex problems
- Basic technical leadership skills encompassing employee coaching, objective setting, and fostering professional development
- Ability to clearly communicate concepts and present complex data findings to both technical and business executives
- Ability to conduct statistical analyses and build models with advanced scripting languages
- Attention to detail and ability to maintain data accuracy and integrity
Bachelor's degree in a quantitative or computer science field, 5+ years of analytics or data science experience, pricing optimization and elasticity modeling expertise, machine learning, statistics, databases, and English fluency required.
Key Responsibilities
- building models
- monitoring models
- analyzing data
Skills & Tools
Exploratory Data Analysis (EDA), Python, C++, JavaScript, R, SAS, Microsoft Excel, SQL, MATLAB, SPSS, Generalized Linear Models (GLM), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Contract
- Workplace: Remote — Miramar or Dallas
- Languages: English
About GroupA
A consulting and staffing organization providing specialized technology and analytics professionals. — Industry: Consulting Services