About talentbridge – Pioneering Entertainment & Media Innovation
talentbridge is a global leader in entertainment, media, and technology, delivering unforgettable experiences to millions of fans worldwide. With a portfolio that spans streaming platforms, live events, and cutting‑edge digital products, talentbridge constantly pushes the boundaries of storytelling and audience engagement. Our data‑driven culture empowers every team to turn insights into action, ensuring that the magic we create resonates across diverse markets and platforms. As a remote‑first organization, talentbridge embraces flexibility, inclusivity, and a collaborative spirit that fuels creativity and growth.
Why This Role Matters
In today’s fast‑moving media landscape, the ability to extract actionable intelligence from massive data sets is a competitive advantage. As the Lead Data Scientist on the Ads Data Solutions Research team, you will be at the heart of strategic decision‑making, shaping revenue streams, optimizing ad performance, and enhancing user experiences across talentbridge’s suite of products. Your work will directly influence how advertisers reach audiences, how product teams prioritize features, and how the business scales sustainably.
Role Overview
This remote position offers a dynamic blend of advanced analytics, statistical modeling, and cross‑functional partnership. You will lead a high‑impact team, collaborate with sales analytics, finance, business operations, product, and engineering, and deliver end‑to‑end solutions that drive revenue, improve ad inventory utilization, and safeguard against fraud. The role is ideal for a seasoned data scientist who thrives in a fast‑paced environment, enjoys mentoring talent, and is passionate about turning complex data into clear, business‑critical insights.
Key Responsibilities
- Model Development & Deployment: Design, build, and iterate predictive models that address revenue forecasting, pricing optimization, churn prediction, and fraud detection. Guide the full lifecycle from data ingestion to feature engineering, algorithm selection, validation, and production deployment.
- End‑to‑End Data Pipeline Management: Own the end‑to‑end workflow, including data collection, cleansing, transformation, feature store creation, model training, and monitoring. Partner with engineering to ensure models are scalable, reliable, and integrated into real‑time decision systems.
- Deep Analytical Exploration: Conduct exploratory data analysis on large‑scale advertising, audience, and product datasets to uncover hidden patterns, growth opportunities, and efficiency gains. Translate findings into strategic recommendations for stakeholders.
- Advanced Visualization & Storytelling: Build compelling visualizations and dashboards using industry‑standard tools to communicate complex model outcomes to both technical and non‑technical audiences. Ensure insights are actionable and aligned with business objectives.
- Cross‑Functional Collaboration: Work closely with sales, finance, product, and engineering teams to define problem statements, prioritize initiatives, and co‑create solutions that deliver measurable business impact.
- Experimentation & A/B Testing: Design and execute rigorous experiments to evaluate model performance, ad effectiveness, and product changes. Analyze results to iterate quickly and improve outcomes.
- Mentorship & Leadership: Lead, coach, and inspire a team of data scientists and analysts. Foster a culture of continuous learning, knowledge sharing, and methodological rigor.
- Thought Leadership: Stay abreast of emerging techniques in machine learning, Bayesian statistics, and big data technologies. Champion best practices and drive innovation within talentbridge’s analytics community.
Essential Qualifications
- Master’s degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, or Statistics.
- 7+ years of hands‑on experience designing, building, and deploying production‑grade machine learning models.
- Proficiency with statistical programming languages and frameworks, particularly Python (including libraries such as scikit‑learn, SciPy, pandas) and Spark/PySpark.
- Strong command of SQL and experience working with modern data warehouses and lakehouse architectures.
- Demonstrated ability to translate business problems into analytical solutions and communicate results effectively to senior leadership.
- Proven track record of leading complex projects, managing stakeholders, and delivering results on time and within scope.
Preferred (Nice‑to‑Have) Qualifications
- Ph.D. in a quantitative field, showcasing deep research expertise.
- Advanced knowledge of Bayesian modeling and probabilistic programming tools such as PyMC or Stan.
- Experience with data engineering platforms and tools like Databricks, Snowflake, Airflow, Jupyter, and GitHub.
- Expertise in data visualization platforms such as Tableau, Looker, or Power BI.
- Hands‑on experience designing, implementing, and interpreting A/B tests and multivariate experiments.
- Ability to quickly adapt to shifting priorities in a high‑velocity, remote work environment.
- Exceptional communication skills, both written and verbal, tailored to technical and non‑technical audiences.
- Demonstrated people‑management experience, including hiring, mentoring, and performance coaching.
Core Skills & Competencies
- Analytical Rigor: Deep statistical knowledge and the ability to apply rigorous methods to solve ambiguous problems.
- Technical Proficiency: Mastery of Python, Spark, SQL, and modern data‑stack tools.
- Problem‑Solving Mindset: Creative, data‑driven approach to uncovering insights and building scalable solutions.
- Collaboration: Strong interpersonal skills to partner effectively across diverse functional teams.
- Leadership: Ability to inspire, guide, and develop talent while driving high‑impact projects.
- Business Acumen: Understanding of advertising ecosystems, revenue models, and product strategy.
Career Growth & Learning Opportunities
talentbridge invests heavily in the professional development of its people. As a Lead Data Scientist, you will have access to:
- Continuous learning budgets for conferences, certifications, and advanced coursework.
- Mentorship programs that pair you with senior leaders across the organization.
- Opportunities to lead cross‑functional initiatives that shape the future of advertising technology.
- Visibility to executive leadership, positioning you for future senior‑level roles such as Director of Data Science or VP of Analytics.
Work Environment & Culture at talentbridge
talentbridge embraces a remote‑first philosophy, offering flexible work arrangements that empower you to thrive from anywhere. Our culture is built on:
- Inclusivity: A diverse workforce where every voice is heard and valued.
- Innovation: A sandbox mindset that encourages experimentation and bold ideas.
- Collaboration: Regular virtual “coffee chats,” team retrospectives, and cross‑department hackathons.
- Well‑Being: Comprehensive mental‑health resources, wellness stipends, and a supportive work‑life balance.
Compensation, Perks & Benefits
talentbridge offers a competitive hourly rate ranging from $25 to $45, commensurate with experience and expertise. In addition to base compensation, you will receive:
- Performance‑based bonuses tied to project impact and business outcomes.
- Full health, dental, and vision coverage for you and eligible dependents.
- Retirement savings plans with company matching contributions.
- Generous paid time off, parental leave, and holiday schedules.
- Technology stipend for home‑office setup, high‑speed internet, and ergonomic equipment.
- Access to a global learning platform, internal knowledge‑sharing sessions, and a library of technical resources.
How to Apply
If you are ready to lead transformative data initiatives, influence multi‑billion‑dollar advertising strategies, and grow your career within a world‑class entertainment powerhouse, we want to hear from you. Click the link below to submit your application and become a pivotal part of talentbridge’s data‑driven future.
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