Freelance Senior Data Scientist (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Freelance Senior Data Scientist in the United States. In this role, you will leverage advanced data science and machine learning techniques to drive data-driven innovation across AI and product initiatives. You will collaborate closely with engineers and product teams to design predictive models, optimize personalization, and enhance customer experiences. This position offers the opportunity to lead analytics projects, develop actionable insights from complex datasets, and influence business strategy through data. As a senior-level independent contractor, you will work autonomously on high-impact initiatives, applying AI/LLM technologies and modern data infrastructure tools. The role is fully remote and provides flexibility while engaging in challenging and meaningful projects. Success in this role requires both technical expertise and strong communication skills to convey insights effectively across teams. Accountabilities: • Partner with AI and data engineers to develop data-driven solutions that enhance product performance and customer outcomes • Design, build, and maintain predictive models, including churn and recommendation systems, to optimize engagement and retention • Lead exploratory data analysis and modeling for AI and LLM-based projects • Analyze marketing, customer, and product datasets to uncover insights that inform strategic decisions • Develop and automate dashboards and reports to track key performance indicators and communicate findings to stakeholders • Champion data best practices and foster a culture of experimentation and measurement across teams • Stay current with advances in machine learning, AI, and data infrastructure, applying them where relevant Requirements • Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Applied Mathematics, or related field • 5+ years of hands-on experience in data science, predictive modeling, or machine learning in a business environment • Practical experience with AI/LLM technologies and their applications • Strong proficiency in Python, SQL, and ML frameworks • Experience with data visualization and dashboarding tools (Tableau, Power BI, Looker, etc.) • Familiarity with cloud data platforms such as AWS or Snowflake • Background in marketing analytics, customer segmentation, or retention modeling • Proven ability to translate complex data insights into actionable strategies for cross-functional teams • Strong understanding of experimentation and A/B testing techniques • Excellent communication skills, capable of engaging both technical and non-technical stakeholders Benefits • Competitive hourly pay range of $80-$100 USD • Fully remote, flexible work environment • Opportunity to work on high-impact projects with AI and product teams • Exposure to cutting-edge AI/LLM technologies and advanced analytics initiatives • Collaborative environment fostering innovation and professional growth Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job's core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest!