Senior Data Scientist (modeling, Python, AWS/Databricks)

INSPYR Solutions; Florida; À distance; USD 110 000 - 117 000; Plein temps

Résumé du poste

INSPYR Solutions is seeking a Sr. Data Scientist to shape business decisions by building models and deploying AI/ML solutions.

You will work on pricing optimization and elasticity analyses, run large-scale experiments, and collaborate with engineers, product owners, and analysts. The role requires strong Python experience and familiarity with AWS/Databricks, with a track record of turning data into actionable insights.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Data Modeling

Python

AWS

Databricks

Formation

Bachelor's degree in Mathematics/Statistics/CS

Master's degree preferred

Outils

Databricks

AWS

SQL

Description du poste

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.

Key Skills

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.

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

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

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities.

Applicants requiring reasonable accommodation during the application or interview process should contact [e-mail] for assistance.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.