> Markdown version of [/jobs/ext/3873127-data-scientist-ii](https://www.wearedevelopers.com/jobs/ext/3873127-data-scientist-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist II - **Company:** Actalent - **Location:** Carlsbad, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $83,200.0 - **Contract:** Temporary contract - **Skills:** Adobe Analytics, A/B Testing, Data Analysis, Data Visualization, Python (Programming Language), Machine Learning, Power BI, Salesforce.Com, SQL Databases, Tableau (Software), Salesforce Communities, Eloqua, Information Technology, Hubspot - **Published:** October 22, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/carlsbad/3d89f0a8-cb35-4abd-9c5f-3ab4c3458fd3 ## About the Role Computer Science Machine Learning Sales Leadership Business Planning Digital Marketing Influencing Skills Advanced Analytics Business Analytics Data Visualization Demand Forecasting Customer Engagement Predictive Modeling Marketing Analytics Propensity Modeling Business To Business Statistical Analysis Statistical Modeling Predictive Analytics Behavioral Analytics Go-to-Market Strategy Statistical Inference Customer Segmentation Persona (User Experience) SQL (Programming Language) Engineering Design Process Business Continuity Planning Python (Programming Language) Customer Lifecycle Management Customer Relationship Management Tableau (Business Intelligence Software) At least 3 years, * Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Business Analytics, or a related quantitative discipline. * 3+ years of experience in Data Science, Predictive Analytics, Commercial Analytics, Marketing Analytics, Customer Insights, or a related field. * Strong experience with Python and SQL. * Experience analyzing large datasets and applying statistical methodologies to solve business problems. * Experience developing predictive models and customer segmentation strategies. * Understanding of forecasting, behavioral analytics, statistical inference, and machine learning techniques. * Experience with Power BI, Tableau, or similar visualization tools. * Experience working with Salesforce, HubSpot, Eloqua, Adobe Analytics, or similar CRM/marketing platforms. * Ability to translate business questions into analytical solutions and communicate findings to diverse stakeholders. * Must be authorized to work in the United States without current or future sponsorship., * Master's degree in a quantitative discipline. * Experience within Life Sciences, Biotechnology, Medical Device, Healthcare, Technology, or related industries. * Experience supporting commercial, sales, marketing, customer insights, or go-to-market functions. * Experience developing customer personas, propensity models, segmentation strategies, or demand forecasting models. Top Skills Data Science & Statistical Analysis Python & SQL Predictive Modeling Customer Segmentation Marketing Analytics Salesforce / CRM Analytics, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. ## Description Eloqua Power BI, Equities Marketing Dashboard Analytics Economics Visionary Operations Innovation Salesforce Statistics Mathematics Forecasting A/B Testing HubSpot CRM Data Quality Data Science Life Sciences Biotechnology Revenue Growth Medical Devices Adobe Analytics Lead Generation, Join a high-impact analytics team supporting commercial and digital marketing initiatives through advanced analytics, predictive modeling, and customer insights. In this role, you'll leverage customer, sales, CRM, market, and digital engagement data to uncover growth opportunities, develop customer segmentation strategies, forecast trends, and drive data-informed business decisions. This is an ideal opportunity for a data professional who enjoys combining technical analytics expertise with real-world business impact, partnering closely with marketing, sales, and commercial leaders to influence strategy and performance., * Develop predictive models to identify customer behaviors, engagement patterns, buying propensities, and market opportunities. * Build customer segmentation frameworks and target personas using commercial, market, CRM, and digital marketing data. * Apply statistical modeling and machine learning techniques to support forecasting, targeting, and business planning initiatives. * Analyze marketing and sales performance across the customer lifecycle, including lead generation, acquisition, engagement, conversion, and retention. * Design and evaluate A/B tests and observational analyses to measure campaign effectiveness. * Identify trends, performance gaps, and growth opportunities across products, campaigns, customer segments, and geographies. * Partner with Marketing, Commercial Operations, Sales Leadership, and Digital teams to translate analytical findings into actionable recommendations. * Build dashboards, visualizations, and executive-level reporting for technical and non-technical stakeholders. * Maintain and optimize analytical models while ensuring data quality and scalability.