Senior Data Scientist

Role: Senior Data Scientist

Location: Remote

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.

Duties and 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

Minimum Qualifications/Requirements

Bachelor's degree in Mathematics, Statistics, Computer Science, or related field; master's degree preferred

Typically 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