Nick Jenkins - Data Scientist

Email: nick_jenkins@outlook.com | Phone: +1-917-815-7709 | Address: Brooklyn, NY, USA

LinkedIn: ndjenkins-au | GitHub: ndjenkins85 | Website: https://www.ndjenkins.com/

Summary

I combine a strategic consulting mindset with advanced data science expertise, delivering solutions that align analytics with real business impact.

Over my 15-year career, I have accumulated 10 years of data science experience, 12 years in consulting, and 8 years in market research. I have risen to the top of my field through my successful work experience and promotion at TikTok and the Boston Consulting Group. I have been entrusted to drive transformative data solutions for Fortune 500 companies. Moving into tech, I delivered high-impact results and earned recognition for leadership in AI, data quality, and cross-functional collaboration. Today, I continue to champion best practices and technical leadership, while embracing the cutting edge of generative AI to solve complex challenges at scale.

Skills
  • Programming & Development: Python, SQL, Bash, Flask, PySpark, Hive, Redis, Docker, Git, Poetry, Airflow, AWS, Devops, Linux, RESTful APIs
  • Machine Learning & Data Science: Scikit-learn, Spark, Tensorflow, A/B testing, Experimental design, Feature engineering, Data quality processes, Time series, Trend detection
  • Large Language Models (LLMs): Ollama, API-based LLMs, RAG, multi-GPU inference, AI agents, Prompt engineering, LLM-powered content analysis
  • Technical Leadership: Code collaboration, CI/CD processes, Software architecture, Distributed computing, GPU computing, High-performance computing
  • Strategy & Vision: Business consulting, Roadmap development, Technical writing, Product development, Project management, Stakeholder/XFN collaboration, SOP development, White papers, Team metrics, Mentoring
Experience
May 2022 - Present, Lead Data Scientist, TikTok, New York

My career hit new heights by joining a massive, fast-growing tech company, where I could focus my efforts on long-term, high-impact data science initiatives. I built robust data pipelines and frameworks that combine large-scale engineering, rigorous quality standards, and advanced ML to address real-time regulatory challenges. My dedication to stakeholder alignment, mentorship, and cross-regional collaboration has elevated TikTok’s transparency function to being an industry leader. By implementing generative AI workflows and a best-in-class reporting platform, I transformed the speed and accuracy of critical data insights throughout the organization. This experience sharpened my technical leadership skills, bridging emerging technologies with mission-critical business goals, and was recognized with promotion to Lead Data Scientist in early 2025.

  • Aggregated Metric Database (AMD): Introduced a single source of truth for regulatory data, scaling external disclosures from ~25 to 130 annually and cutting ad-hoc reporting requirements by 44%, recognized with two spot bonuses and further business investment.
  • SOPs & Data Quality: Defined team mission, vision, and north star metrics. Our quality processes earnt industry-leading results from KPMG DSA audit.
  • Data Disclosure Platform: Centralized disclosure practices across entire business, reduced request handling time from 182 hours to 15 hours.
  • Mentorship & Code Review Culture: Established code quality and review processes towards 83% coverage, onboarded four new data scientists across multiple regions.
  • LLM Analytics Product: Deployed advanced generative AI analytics to enable 81% accurate misinformation detection, topics and trends during the US election
Jul 2019 - May 2022, Senior Data Scientist, Boston Consulting Group, New York

Joining the Boston Consulting Group in New York was a transformative leap in my career as a data science consultant. With a newly completed master’s degree and years of consulting experience, I quickly took ownership of Fortune 500 client engagements spanning multiple industries. I became a trusted expert in delivering advanced machine learning, data engineering, and strategic consulting skills, all while leading cross-functional teams and presenting insights to top executives. This journey honed my ability to deliver measurable business impact through robust data pipelines, clear communication, and a relentless focus on value creation.

  • Wholesaler pricing: Transformed a B2B distributor’s $1B promotional spend by modeling price elasticity and optimizing investments to achieve double-digit ROI.
  • High end fashion retailer: Spearheaded a $52M personalization pilot that delivered a 25% lift in sales through targeted, data-driven product offers and experimental design.
  • Payroll contract pricing: Reduced churn and accelerated negotiation cycles by analyzing price sensitivity with advanced ML, boosting profitability for a global payroll provider.
  • Best practice ringfence: Strengthened risk governance across 20+ active engagements through stakeholder alignment and code quality leadership.
  • Lighthouse: Led a team of five to integrate data sources into BCG’s internal data enrichment platform, boosting analytics capabilities for global case teams.
Feb 2014 - Apr 2019, Head of Data Science, Evolve Research, Melbourne

I led the data science team, overseeing analytics innovation, consulting, and project management for major Australian clients. I built and led end-to-end analytical solutions for a national broadband provider, a major supermarket chain, and a leading health insurer, combining machine learning with market research to drive strategic decision-making. This role sharpened my ability to manage high-value client relationships, deliver practical insights, and scale data-driven solutions across industries.

  • Led consulting & analytics for NBN’s national customer research, shaping executive decision-making with data-driven insights.
  • Developed a text classification platform that automated survey response analysis, driving $300K+ in new business from existing clients.
  • Built AI-driven tools for a top Australian supermarket, identifying real-time customer feedback trends on product quality, stock issues, and service.
  • Managed and mentored analysts & engineers, delivering scalable analytics solutions for enterprise clients.
Feb 2011 - Feb 2014, Research Associate, The Klein Partnership, Melbourne

I developed strong data analysis, research, and consulting skills, managing large datasets and ensuring data quality for client projects. I worked closely with executive teams, translating complex survey data into actionable insights that influenced key business strategies. This role built my foundation in data-driven consulting, stakeholder engagement, and statistical methodologies.

  • Managed large datasets & ensured data integrity, refining processes for high-quality analytics.
  • Developed statistical models & analysis frameworks, growing from hands-on data processing to advanced modeling.
  • Presented research findings to C-level stakeholders at a leading Australian appliance retailer, influencing market strategy decisions.
Education
  • 2016 - 2019, Masters of Computer Science, Georgia Institute of Technology, Machine learning specialization, 3.9 GPA
  • 2004 - 2009, Bachelor of Arts, University of Melbourne, Majored in Psychology and Political Science