Senior Data Scientist

Title: Sr. Data Scientist
Location: Remote. Need to be within 90 miles of Dallas, TX or Ft. Lauderdale, FL for occasional onsite meetings.
Duration: Contract to perm
Compensation: $80-85
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Sr. Data Scientist, modeling, Python and AWS/Databricks.

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.

• 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

• 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

• 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…