Provide technical leadership in evaluating the performance and impact of advanced technologies, including precision agriculture, automation, autonomous systems, and digital products, while remaining hands-on in developing machine learning models, analytical solutions, and data pipelines.
Compensation
Competitive annual base salary ranging from $123,804 to $185,700, depending on qualifications and experience.
Responsibilities
Lead a sub-team of data scientists within the Technology Intelligence Proving Ground, establishing priorities, allocating responsibilities, and providing day-to-day technical guidance.
Define the technical strategy for evaluating the performance of machines, precision technologies, automation and autonomous capabilities, and digital products.
Design and conduct structured technology evaluations and benchmarks using repeatable methodologies, clear success criteria, and measurable outcomes.
Drive projects from initial concepts to tangible business results by framing problems, exploring data, developing prototypes, and delivering scalable solutions.
Independently develop machine learning models, analytical solutions, and data pipelines to assess real-world technology performance.
Requirements
Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related technical discipline
Advanced degree in statistics, mathematics, engineering, computer science, a quantitative discipline, or applied AI/ML (preferred)
The Decision Scientist will provide analytical and statistical support to business teams by transforming complex data into meaningful insights and actionable recommendations.
Locations (2)
Brazil
Mexico
Responsibilities
Apply statistical, mathematical, and quantitative techniques to solve business problems and support strategic decision-making
Conduct exploratory data analysis (EDA) to identify patterns, trends, correlations, outliers, and business opportunities
Develop descriptive and explanatory models to investigate business challenges and support data-driven recommendations
Apply statistical methodologies such as distribution analysis, correlation analysis, multivariate analysis, time series, hypothesis testing, and machine learning
Collect, integrate, clean, and transform data from multiple sources to create reliable datasets for analysis
Requirements
Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field
Develop machine learning models and data-driven capabilities that help Bask Health better understand patient experiences and improve how our platform supports patients throughout their telehealth journeys.
Responsibilities
Develop machine learning models that support patient experience and operational intelligence across Bask Health.
Analyze patient journey data to identify friction points, behavioral patterns, and opportunities for product improvement.
Build predictive models for approved patient engagement and workflow outcomes.
Develop models that help identify potential onboarding abandonment and incomplete workflows.
Analyze questionnaire completion patterns and other patient interaction signals.
Provide quantitative measurement and data analysis expertise for healthcare processes, patient outcomes, and clinical cost effectiveness.
Responsibilities
Implement established and develop innovative techniques for measuring, analyzing, and reporting on healthcare processes, patient outcomes, and clinical cost effectiveness
Carry out data management responsibilities for clinical data to fulfill organizational quality improvement plan and meet regulatory requirements
Use advanced analytics to solve real-world challenges in an international manufacturing environment, transforming complex manufacturing, laboratory, and business data into actionable insights to improve product quality, process performance, yield, and productivity.
Responsibilities
Use advanced analytics, statistical methods, machine learning, and AI to generate actionable insights and measurable business impact across manufacturing, innovation, and commercial activities.
Analyze large and complex datasets, including high-frequency plant and sensor data, laboratory results, and relevant metadata.
Prepare imperfect real-world datasets for analysis through data cleaning, preprocessing, feature engineering, and exploratory data analysis.
Develop predictive models to support areas such as product-quality prediction, process monitoring, troubleshooting, and performance improvement.
Apply prescriptive analytics to identify optimal process conditions, parameter settings, input variables, or recipe configurations.
Requirements
Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Chemistry, Chemical Engineering, or another relevant STEM discipline
PhD (welcome)
Bachelor’s degree combined with substantial relevant industry experience
Lead the finance function for marketing and FP&A, managing a team of analysts, developing financial models, scenario planning, and providing insights to senior leadership.
Responsibilities
Manage a team of financial analysts providing functional support to business units
Leverage Financial Centers of Expertise to provide financial insights and risk analysis
Partner with senior leadership (SVPs & VPs) to provide financial insights and recommendations
Prepare and communicate deliverables to senior management and the Board of Directors
Research issues, report findings, and suggest alternative courses of action
Requirements
Bachelor’s degree in Business, Finance, Accounting or related field
Nice to have: Master’s degree in Business, Finance, Accounting or related field
Lead Data Scientist (Data & CTV) based in our New York office, acting as the technical anchor and people lead for our US analytics expansion.
Compensation
Great compensation package tailored to the U.S. market.
Responsibilities
Lead, mentor, and grow a team of 2 data scientists/analysts in the US
Own workload prioritization, analytical quality, and professional growth while fostering a culture of statistical rigor
Deep-dive into massive, fast-moving RTB and CTV datasets using SQL and Python to uncover market inefficiencies, bidding dynamics, and revenue opportunities
Serve as the technical expert for our US CTV footprint, analyzing performance to ensure a constant improvement in the measurable KPIs, supply-path optimization (SPO), cross-screen measurement, and auction mechanics
Partner with Product to translate complex statistical anomalies and performance signals into production-ready product requirements and self-service analytics frameworks
Requirements
Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or Data Science)
Nice to have: AdTech
Nice to have: programmatic advertising (DSP/SSP/RTB)
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