Senior Data Scientist - IV

Senior Data Scientist - IV Miramar, FL or Dallas, TX (Hybrid Onsite) 12+ Months (Contract to Hire) $70.00-$90.00/hr on W2 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 spot patterns, 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 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 Artech