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About Nexahire
Nexahire is a forward‑thinking technology partner that empowers businesses to transform data into actionable insights. With a global footprint and a reputation for innovation, we help clients across finance, retail, healthcare, and more unlock the full potential of their data assets. Our culture is built on curiosity, collaboration, and a relentless focus on delivering measurable value to our customers. If you thrive in a fast‑paced environment where your ideas shape strategy and drive real impact, nexahire is the place for you.
Why Nexahire?
At nexahire, we don’t just build solutions – we build careers. Our Top Company Awards and Industry Recognition reflect our commitment to excellence, diversity, and employee growth. We offer a competitive total rewards package that includes:
- Market‑aligned base salary and performance bonuses
- Comprehensive health, dental, and vision plans
- Retirement savings plans with company match
- Generous paid time off, flexible work arrangements, and wellness programs
- Continuous learning stipend and access to cutting‑edge training resources
- Employee stock purchase plan and equity opportunities for senior roles
Our inclusive culture celebrates diverse perspectives and empowers every team member to contribute. We champion work‑life balance, encourage innovation, and provide a supportive environment where you can grow both professionally and personally.
Role Overview
As a Senior Lead Data Science Consultant in our Customer Experience Analytics & Predictive Modeling team, you will own the end‑to‑end analytics lifecycle – from data ingestion and exploratory analysis to model development, validation, deployment, and communication of insights. Your work will directly influence customer engagement strategies, operational efficiencies, and revenue growth across nexahire’s portfolio of clients. You will collaborate with cross‑functional stakeholders, mentor junior analysts, and shape the data science roadmap for high‑impact initiatives.
Key Responsibilities
- Lead End‑to‑End Analytics Projects – Design, implement, and deliver advanced analytics solutions that solve complex business problems.
- Data Engineering & Feature Engineering – Extract, transform, and load data from diverse sources; build robust feature pipelines that support predictive modeling.
- Model Development & Validation – Build machine learning, NLP, and deep learning models; conduct rigorous validation, including fairness, robustness, and explainability testing.
- Insight Generation & Storytelling – Translate analytical findings into clear, actionable recommendations for non‑technical audiences.
- Stakeholder Collaboration – Partner with product managers, business analysts, and senior leaders to align analytics initiatives with strategic objectives.
- Mentorship & Knowledge Sharing – Coach junior data scientists and analysts; lead workshops and knowledge‑transfer sessions.
- Process & Tooling Improvement – Evaluate and implement new tools, frameworks, and best practices to enhance productivity and model quality.
- Documentation & Governance – Maintain comprehensive documentation of data pipelines, model assumptions, validation results, and deployment procedures.
- Continuous Learning – Stay abreast of emerging data science techniques, industry trends, and regulatory requirements.
Essential Qualifications
- Minimum 5+ years of data science experience in a consulting or enterprise environment.
- Advanced degree (Master’s or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or Economics.
- Proficiency in Python, SAS, SQL (Teradata), and R for data manipulation, modeling, and reporting.
- Hands‑on experience with Machine Learning (ML) frameworks (scikit‑learn, TensorFlow, PyTorch) and Natural Language Processing (NLP) libraries (spaCy, Hugging Face).
- Deep knowledge of Large Language Models (LLMs) and their application to customer experience analytics.
- Proven track record of building and deploying end‑to‑end models from discovery to production.
- Strong analytical thinking, problem‑solving skills, and the ability to translate complex data into clear business insights.
- Excellent written and verbal communication skills; ability to present to senior executives.
- Experience with model governance, explainability, and fairness testing.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data orchestration tools (Airflow, dbt).
Preferred Qualifications
- Experience in the financial services sector or other regulated industries.
- Knowledge of customer journey analytics and churn prediction.
- Exposure to big data technologies such as Spark, Hive, or Hadoop.
- Certifications in data science or cloud technologies (e.g., AWS Certified Machine Learning, Google Cloud Professional Data Engineer).
- Published research or contributions to open‑source data science projects.
Skills & Competencies
- Advanced statistical modeling and hypothesis testing.
- Feature engineering, dimensionality reduction, and model selection.
- Model deployment, monitoring, and lifecycle management.
- Data visualization and storytelling with tools such as Tableau, Power BI, or Looker.
- Project management and agile methodologies.
- Collaboration across cross‑functional teams and stakeholder management.
- Adaptability to evolving business needs and emerging technologies.
Career Growth & Learning Opportunities
Nexahire is committed to your professional development. As a Senior Lead Data Science Consultant, you will:
- Progress into Senior Leadership roles such as Principal Data Scientist, Head of Analytics, or Chief Data Officer.
- Lead large‑scale, high‑visibility projects that shape industry best practices.
- Participate in internal innovation labs and hackathons.
- Receive mentorship from senior leaders and access to executive coaching.
- Earn a learning stipend for courses, certifications, and conferences.
- Contribute to white papers, case studies, and thought leadership that showcase nexahire’s expertise.
Work Environment & Culture
Our teams thrive on collaboration, curiosity, and a shared commitment to excellence. At nexahire, you’ll find:
- Modern, flexible workspaces that support both in‑office and remote collaboration.
- A culture that values diversity, equity, and inclusion – we celebrate different perspectives and encourage open dialogue.
- Regular team‑building events, hackathons, and knowledge‑sharing sessions.
- Access to cutting‑edge technology stacks and a culture of continuous improvement.
- Transparent communication from leadership and a flat hierarchy that empowers you to make decisions.
Compensation & Benefits
While specific figures vary by location and experience, nexahire offers a competitive salary package that includes:
- Base salary commensurate with market rates and experience.
- Performance‑based bonuses tied to project outcomes and business impact.
- Health, dental, vision, and life insurance plans.
- 401(k) with company match and equity options for senior roles.
- Paid time off, parental leave, and flexible work arrangements.
- Wellness programs, including gym memberships and mental health resources.
- Professional development budget and access to industry conferences.
How to Apply
Ready to take the next step in your data science career? Click the link below to submit your application and join a team that values innovation, impact, and growth.
Apply to Lead Data Science Consultant – Customer Experience Analytics
We Encourage You to Apply!
Even if you feel you’re not a perfect match, we’d love to hear from you. Nexahire is looking for talented individuals who are passionate about data, eager to learn, and ready to make a difference. Join us and help shape the future of customer experience analytics.
Contact & Further Information
For more details about nexahire, our culture, and the role, visit our page or connect with us on . If you have any questions, feel free to reach out to our recruiting team at careers@nexahire.com.
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