Principal Data Scientist

Fractal; United States; On-site; USD 170,000 - 220,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) Plan

Paid holidays and Parental Leave

Flexible PTO policy

Job summary

A leading strategic AI partner in the United States is seeking a Principal Data Scientist to lead efforts in leveraging Generative AI and advanced analytics. This role requires deep expertise in machine learning and a track record in deploying AI/ML solutions for lead generation. You'll guide cross-functional teams to enhance customer acquisition and personalization strategies. Ideal candidates have over 10 years of experience in data science, including leadership, and strong skills in Python and SQL. A competitive compensation range of $170,000 - $220,000 is offered, along with comprehensive benefits.

Qualifications

• 10+ years of experience in data science, with at least 3 years in a leadership role.
• Proven track record in deploying AI/ML solutions for lead generation.
• Strong understanding of marketing funnels and customer lifecycle analytics.

Responsibilities

• Lead AI-driven initiatives focused on lead generation and personalization.
• Translate business goals into data science strategies.
• Mentor junior data scientists.

Skills

Machine learning

Advanced analytics

AI-driven strategies

Python

SQL

Data visualization

Education

Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Salesforce

HubSpot

Tableau

Power BI

Job description

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Principal Data Scientist

Job Summary

We are seeking a seasoned AI Data Scientist to lead our efforts in leveraging Generative AI and advanced analytics to optimize lead generation strategies. This role blends deep technical expertise in machine learning and AI with strategic leadership and business acumen. You will guide cross‑functional teams to build intelligent systems that enhance customer acquisition, personalize outreach, and improve conversion rates.

Key Responsibilities

Strategic Leadership

• Lead AI‑driven initiatives focused on lead generation, customer segmentation, and personalization.
• Translate business goals into data science strategies and scalable solutions.
• Mentor junior data scientists and foster a culture of innovation and experimentation.

Technical Execution

• Design and deploy ML models for lead scoring, churn prediction, and campaign optimization.
• Develop GenAI‑powered tools (e.g., LLM‑based chatbots, content generators) to support marketing and sales.
• Build and maintain robust data pipelines and ML workflows using cloud platforms (AWS, Azure, GCP).

Cross‑functional Collaboration

• Work closely with marketing, sales, and product teams to align AI solutions with business needs.
• Present insights and model outcomes to stakeholders in a clear, actionable manner.
• Ensure compliance with data governance, privacy, and ethical AI standards.

Required Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field.
• 10+ years of experience in data science, with at least 3 years in a leadership role.
• Proven track record in deploying AI/ML solutions for lead generation or customer acquisition.
• Expertise in Python, R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit‑learn).
• Experience with GenAI technologies (LLMs, retrieval‑augmented generation, prompt engineering).
• Strong understanding of marketing funnels, CRM systems, and customer lifecycle analytics.

Preferred Skills

• Familiarity with tools like Salesforce, HubSpot, Marketo, or similar.
• Experience with A/B testing, causal inference, and uplift modeling.
• Knowledge of data visualization tools (Tableau, Power BI).
• Excellent communication and stakeholder management skills.

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $170,000 - $220,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

• As a full‑time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.