---
About Talentnexus and the Future of Customer Experience
At talentnexus, we’re redefining how people connect with entertainment, games, and immersive experiences across the globe. With a community of more than 300 million members in over 190 countries, we empower users to discover, enjoy, and share content on their own terms—anytime, anywhere, and on any device. Our mission is to keep the world entertained, informed, and inspired, and we do that by building the most reliable, scalable, and customer‑centric platform in the industry.
Our Customer Service organization is the frontline of that promise. It ensures that every member’s journey is seamless, that issues are resolved quickly, and that feedback loops into product and engineering teams. Data science is the engine that drives this excellence, turning raw interactions into actionable insights that shape strategy, product design, and operational efficiency.
As a Senior Data Scientist on our Customer Experience team, you will be at the intersection of analytics, product, and leadership. You’ll own the metrics that define success, build predictive models that anticipate member needs, and partner with cross‑functional stakeholders to embed data‑driven decision making across talentnexus.
Key Responsibilities
- Metric Evolution & North‑Star Leadership – Lead the development and refinement of customer service metrics, identifying the most impactful “north‑star” indicators that align with talentnexus’s business objectives.
- Strategic Measurement Design – Translate complex business problems into rigorous measurement frameworks, selecting appropriate statistical techniques and ensuring robust data integrity.
- Cross‑Functional Collaboration – Partner with executives, product managers, data engineers, analytics engineers, and finance to champion a culture of evidence‑based decision making.
- Experimentation & Research – Identify high‑impact opportunities for A/B tests, quasi‑experiments, and observational studies that drive continuous improvement in service quality.
- Metric Adoption & Knowledge Transfer – Champion the use of customer service metrics across talentnexus, creating dashboards, playbooks, and training materials that empower product, engineering, and data science teams.
- Data‑Driven Storytelling – Translate complex analytical findings into clear, actionable recommendations for diverse audiences, from frontline agents to senior leadership.
- Innovation & Thought Leadership – Stay ahead of industry trends in customer analytics, machine learning, and causal inference, bringing fresh ideas to the team.
Essential Qualifications
- Advanced degree (Ph.D. or Master’s) in Statistics, Mathematics, Physics, Economics, or a related quantitative discipline.
- 5+ years of applied data science experience in a high‑growth, technology‑driven environment.
- Deep statistical knowledge and intuition, with a proven track record of building business‑centric metrics frameworks.
- Proficiency in SQL and Python (preferred); experience with R, Scala, or Java is a plus.
- Expertise in a broad spectrum of measurement and prediction techniques: correlation analysis, observational causal inference, forecasting, quasi‑experimentation, and more.
- Strong communication skills—able to distill technical concepts into clear, persuasive narratives for engineering, product, and executive audiences.
- Self‑starter who thrives in a fast‑paced, low‑structure environment, taking ownership of complex data challenges.
- Passion for customer experience and a desire to become a subject‑matter expert in the field.
Preferred Qualifications
- Experience in customer service, support, or operations analytics.
- Background in building large‑scale, real‑time analytics pipelines.
- Knowledge of causal inference frameworks such as difference‑in‑differences, instrumental variables, or propensity score matching.
- Familiarity with cloud data platforms (AWS, GCP, Azure) and data warehousing solutions (Snowflake, BigQuery, Redshift).
- Published research or conference presentations in data science or analytics.
Core Skills & Competencies
- Statistical modeling & machine learning (regression, classification, clustering, time‑series).
- Data wrangling, feature engineering, and data quality assurance.
- Advanced SQL querying and performance tuning.
- Python programming (pandas, NumPy, scikit‑learn, statsmodels, PyMC3).
- Data visualization (Tableau, Looker, Power BI, or matplotlib/seaborn).
- Experiment design, hypothesis testing, and result interpretation.
- Strong business acumen—understanding how analytics translates into revenue, retention, and operational cost savings.
- Excellent written and verbal communication; ability to influence without authority.
Career Growth & Learning Opportunities
At talentnexus, we believe that the best data scientists are lifelong learners. As a senior member of our team, you’ll:
- Lead high‑impact projects that shape talentnexus’s customer experience strategy.
- Mentor junior analysts and data scientists, fostering a culture of knowledge sharing.
- Collaborate with product, engineering, and finance leaders to drive cross‑functional initiatives.
- Participate in internal hackathons, innovation labs, and industry conferences.
- Access to a robust learning budget for courses, certifications, and advanced degrees.
- Opportunity to transition into leadership roles such as Lead Data Scientist, Director of Analytics, or Head of Customer Experience.
Work Environment & Culture
Our culture is built on transparency, curiosity, and a relentless focus on customer delight. You’ll find:
- A flat hierarchy that encourages open dialogue and rapid decision making.
- Remote‑first flexibility with optional on‑site hubs for collaboration.
- Inclusive teams that celebrate diverse perspectives and backgrounds.
- Regular “Ask Me Anything” sessions with senior leaders.
- Community‑building events, hackathons, and volunteer opportunities.
Compensation & Benefits
We offer a competitive total rewards package that reflects your expertise and impact:
- Base Salary – $170,000 to $720,000 annually, depending on experience and market benchmarks.
- Equity – Flexible allocation between salary and stock options, allowing you to tailor your compensation to your financial goals.
- Health & Wellness – Comprehensive medical, dental, and vision plans; mental health support; and wellness stipends.
- Retirement – 401(k) plan with employer match.
- Paid Time Off – 35 days of paid vacation, holidays, and sick leave for hourly employees; flexible time off for salaried staff.
- Family & Life Benefits – Paid parental leave, adoption assistance, and family‑planning resources.
- Financial & Disability Protection – Disability insurance, life insurance, and serious injury coverage.
- Additional Perks – Flexible spending accounts, health savings accounts, and employee discounts on talentnexus services.
Inclusion & Diversity
At talentnexus, diversity is not just a value—it’s a strategic advantage. We are committed to creating an inclusive environment where every voice is heard and every talent is nurtured. If you need accommodations during the hiring process, please let us know.
How to Apply
Ready to shape the future of customer experience at talentnexus? Click the link below to submit your application and join a team that values curiosity, impact, and collaboration.
We look forward to exploring how your expertise can help us deliver unparalleled service to our global community.