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Sr Data Scientist, Marketing (Remote)

CrowdStrike

Sr Data Scientist, Marketing (Remote)

CrowdStrike

USA - Remote

·

Remote

·

Full-time

·

1mo ago

Compensation

$125,000 - $180,000

Benefits & Perks

Learning and development stipend

Flexible PTO policy

Parental leave program

Health, dental, and vision coverage

Required Skills

Airflow

PyTorch

TensorFlow

As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every Crowd Striker both the flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

We are seeking a Sr. Data Scientist to lead AI-driven insights and predictive analytics for enterprise business applications, focusing on critical processes such as Quote-to-Cash, Renewals, Churn & Contraction, and Business Review Automation. This role will leverage enterprise data from Data Lake solutions like Snowflake and deliver actionable insights through Tableau (preferred BI tool) to optimize Marketing, Sales, Finance, Customer Success, and GTM Operations.

The ideal candidate will combine deep technical expertise with strong business acumen, translating complex data insights into clear, impactful presentations for executive leadership. They will work closely with business leaders, data engineers, and product teams to develop predictive models and analytical solutions that enhance revenue forecasting, improve retention strategies, and automate decision-making.

What You'll Do:

  • Develop and implement predictive analytics and machine learning models to optimize Quote-to-Cash, Renewals, Churn & Contraction, and Business Review Automation processes.

  • Work with large-scale enterprise datasets in Snowflake and other Data Lake solutions to extract, clean, and transform data for business applications.

  • Create and deliver insightful data visualizations and dashboards in Tableau, making complex data accessible to executive teams and functional leaders.

  • Present data findings and predictive model insights to business leaders, and key stakeholders, translating complex models into actionable business recommendations.

  • Partner with Sales, Finance, and Customer Success teams to improve forecasting models, sales pipeline analysis, and revenue optimization.

  • Automate key business review processes using AI and advanced analytics, reducing manual effort and improving accuracy.

  • Ensure data quality, governance, and compliance in business reporting and analytics.

  • Stay up to date with the latest trends in AI, ML, and business analytics, identifying opportunities for innovation and automation.

What You'll Need:

  • 10 years of experience in data science, predictive analytics, and AI for business applications.

  • Expertise in Python, R, or SQL for data manipulation, statistical modeling, and machine learning.

  • Hands-on experience with Snowflake or other cloud-based Data Lake solutions for enterprise data processing.

  • Strong proficiency in Tableau (preferred BI tool) for data visualization and reporting.

  • Strong understanding of business processes such as Quote-to-Cash, Renewals, Churn & Contraction, and Business Review Automation processes.

  • Proven ability to communicate and present complex data findings to executive leadership and business stakeholders in a clear, actionable manner.

  • Demonstrated experience working with Sales, Finance, and Customer Success teams to drive analytics adoption.

  • Deep understanding of business KPIs, revenue forecasting techniques, customer segmentation, and operational analytics.

  • Ability to work with large enterprise datasets, ensuring efficiency, scalability, and security.

  • Strong storytelling and communication skills, with the ability to translate predictive model insights into strategic business decisions.

Bonus Points:

  • Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployments.

  • Strong understanding of data governance, compliance, and regulatory reporting.

  • Experience working in B2B SaaS, Financial Services, or Enterprise Applications is a plus.

Benefits of Working at Crowd Strike:

  • Remote-friendly and flexible work culture

  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs

  • Competitive vacation and holidays for recharge

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified™ across the globe

Crowd Strike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

Crowd Strike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruitingcrowdstrike.com for further assistance.

Find out more about your rights as an applicant.

Crowd Strike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

Crowd Strike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $125,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here.

Expected Close Date of Job Posting is:11-17-2025

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About CrowdStrike

CrowdStrike

CrowdStrike Holdings, Inc. is an American cybersecurity technology company based in Austin, Texas. It provides endpoint security, threat intelligence, and cyberattack response services.

5,001-10,000

Employees

Austin

Headquarters

$50B

Valuation

Reviews

4.1

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.4

Career

4.1

Management

3.8

78%

Recommend to a Friend

Pros

Great culture and supportive environment

Excellent benefits and competitive compensation

Quality product and industry leadership

Cons

Team silos and communication issues

Job instability and layoffs

High turnover rates

Salary Ranges

2 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Junior/L3 · Data Scientist

0 reports

$236,000

total / year

Base

$160,000

Stock

$60,000

Bonus

$16,000

$200,600

$271,400

Interview Experience

8 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 13%

Neutral 50%

Negative 37%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Hiring Manager Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience