Senior Data Scientist
$125,000–$135,000 year
On-siteNew York City, New York, United States
Job Summary
Design and deploy end-to-end machine learning models that solve high-stakes business problems, moving from data exploration to production deployment. Conduct rigorous exploratory data analysis to uncover patterns and translate complex findings into clear narratives for senior client stakeholders. Partner with client teams and data engineers to ensure solutions are scalable and built on reliable pipelines while defining analytical approaches for engagements. Contribute to new business proposals and develop internal methodologies, actively mentoring junior data scientists to raise the technical bar across the practice.
Required Qualifications
- 4–7 years of hands-on experience in data science, machine learning, or advanced analytics
- demonstrable track record of end-to-end model delivery in a client-facing or high-stakes business environment
- Advanced degree (MSc or PhD) in a quantitative field — statistics, mathematics, computer science, engineering, or equivalent
- Expert-level proficiency in Python and/or R
- Deep expertise in machine learning and statistical modeling — regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning
- Strong command of SQL
- experience working with large-scale datasets across cloud platforms (GCP, AWS, or Azure)
- Demonstrated ability to lead technical workstreams and mentor junior team members
- Consulting or client-facing experience
- the ability to manage ambiguity, scope problems, and deliver under pressure
- An undergraduate degree with strong academic performance
- 1–2 years of full-time experience in consulting, data/analytics, marketing, finance, or tech
- Outstanding verbal and written communication skills
- Proven ability to collaborate across diverse, multicultural teams
- strong intercultural communication skills
- Advanced proficiency in Excel and PowerPoint
- A genuine passion for data, digital, and the broader tech economy
- A natural desire to teach and develop others
Desired Qualifications
- strong undergraduate candidates with exceptional experience
- Experience with MLOps practices — model versioning, monitoring, deployment pipelines, and productionization
- Consulting or client-facing experience
- the ability to manage ambiguity, scope problems, and deliver under pressure
- Exposure to marketing analytics, customer analytics, or demand forecasting in a consumer-facing industry
- Exposure to strategy consulting and/or digital marketing
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