Data Scientist 2, Commercial Marketing

Actalent; Carlsbad (CA); Remote; USD 47,000 - 63,000; Full time

Benefits offered by this job

Remote work

Job summary

Actalent seeks a Data Scientist II to support Digital Marketing and Commercial Analytics with advanced modeling, predictive analytics, and customer insights. You will leverage CRM, sales, and engagement data to identify growth opportunities and forecast behaviors.

The role emphasizes actionable recommendations, experimental design, and communicating results to technical and non-technical stakeholders in a fully remote contract based in CA.

Qualifications

• Bachelor’s degree in a quantitative field; advanced degree preferred.
• 3+ years in data science, predictive analytics, or marketing analytics.
• Proficiency in Python/SQL/R/SAS and data visualization tools.
• Experience with large structured/unstructured data and CRM/marketing platforms.
• Ability to translate analytics into business insights for stakeholders.

Responsibilities

• Develop predictive models to identify customer behaviors and market opportunities.
• Build segmentation frameworks and target personas from diverse data sources.
• Apply statistical and ML techniques for forecasting and business planning.
• Analyze marketing and sales performance across the customer journey.
• Design experiments and A/B tests to measure campaign impact.
• Collaborate with cross-functional teams to translate findings into actions.
• Create visualizations and executive reports for technical and non-technical audiences.
• Integrate internal and external data to improve targeting strategies.

Skills

Customer segmentation

Forecasting

Machine learning

Statistical inference

Behavioral analytics

Education

Bachelor's degree

Master's degree

Tools

Python

SQL

R

SAS

Power BI

Tableau

Salesforce

HubSpot

Eloqua

Adobe Analytics

Job description

Data Scientist II, Commercial & Marketing AnalyticsPosition Summary

We are seeking a Data Scientist II to support our Digital Marketing and Commercial Analytics teams through advanced statistical modeling, predictive analytics, and customer insights. This individual will leverage customer, market, CRM, sales, and digital engagement data to identify growth opportunities, develop customer personas, forecast behaviors, and drive data-informed business decisions.

This position goes beyond traditional reporting and dashboard development. The ideal candidate will have hands‑on experience developing predictive models, applying machine learning techniques, and translating large, complex datasets into actionable strategies that improve commercial and marketing outcomes.

Candidates with experience in Life Sciences, Biotechnology, Medical Device, Healthcare, or other regulated industries are strongly preferred.

Key Responsibilities

• 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, customer acquisition, engagement, conversion, and retention.
• Design and evaluate experiments, A/B tests, and observational analyses to measure campaign effectiveness and inform strategic decisions.
• Identify trends, anomalies, performance gaps, and growth opportunities across customer segments, products, campaigns, and geographies.
• Partner with Marketing, Commercial Operations, Sales Leadership, and Digital teams to translate analytical findings into actionable recommendations.
• Build visualizations and executive‑level reporting to communicate complex analytical concepts to technical and non‑technical stakeholders.
• Evaluate and integrate internal and external data sources to improve customer targeting strategies and market intelligence.
• Develop, maintain, and optimize analytical models while ensuring data quality, accuracy, and scalability.

Required Qualifications

• While this position is remote, candidate must be located in California
• Bachelor's degree in Statistics, Mathematics, Economics, Econometrics, Data Science, Applied Mathematics, Computer Science, or a related quantitative discipline.
• 3+ years of experience in Data Science, Predictive Analytics, Marketing Science, Commercial Analytics, or a related field.
• Experience developing predictive models and applying statistical methodologies to solve business problems.
• Strong understanding of:
• Customer segmentation
• Behavioral analytics
• Forecasting
• Machine learning
• Statistical inference
• Experience working with large structured and unstructured datasets.
• Proficiency in one or more of the following:
• Python
• SQL
• R
• SAS
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Knowledge of CRM and marketing platforms such as:
• Salesforce
• HubSpot
• Eloqua
• Adobe Analytics
• Ability to communicate complex analytical findings to both technical and business audiences.
• Strong problem‑solving skills with the ability to connect data insights to business outcomes.

Preferred Qualifications

• Master's degree in Statistics, Economics, Econometrics, Mathematics, Data Science, Machine Learning, or a related quantitative field.
• Experience within:
• Life Sciences
• Biotechnology
• Pharmaceutical
• Medical Device
• Healthcare industries
• Experience supporting commercial analytics, marketing analytics, customer insights, market research, or go‑to‑market teams.
• Experience developing:
• Customer personas
• Propensity models
• Segmentation strategies
• Demand forecasting models
• History in experimental design, causal inference, or advanced statistical modeling techniques.
• Experience working within cross‑functional global organizations.

What Success Looks Like

The successful candidate will combine quantitative rigor with business curiosity. They will use statistical thinking, predictive modeling, and machine learning techniques to understand customer behavior, anticipate future trends, and help drive commercial growth.

Rather than simply reporting what happened, this individual will help the business understand what is likely to happen next and why, enabling more effective commercial and marketing decisions through data‑driven insights.

Job Type & Location

This is a Contract position based out of Carlsbad, CA.

Pay and Benefits

The pay range for this position is $40.00 - $40.00/hr.

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.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre‑tax and Roth post‑tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long‑term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Oct 9, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [e-mail] for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.