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# Data Scientist

- **Company:** Artefact
- **Location:** New York, United States
- **Experience:** Starter
- **Salary:** $125,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Spreadsheets, Databases, Software Debugging, Python (Programming Language), Machine Learning, Natural Language Processing, Microsoft PowerPoint, Recommender Systems, SQL Databases, Web Applications, Google Cloud, Delivery Pipeline, Deep Learning, Information Technology, Production Code, Xgboost, Machine Learning Operations, Software Version Control, Data Pipelines
- **Published:** June 25, 2026
- **Apply:** https://www.dice.com/job-detail/39d98aa3-01db-4b20-a135-d8b0e749db38

## About the Role

* 4-7 years of hands-on experience in data science, machine learning, or advanced analytics - with a 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; strong undergraduate candidates with exceptional experience will be considered
 * Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code
 * Deep expertise in machine learning and statistical modeling - regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning, depending on your specialization
 * Strong command of SQL and experience working with large-scale datasets across cloud platforms (Google Cloud Platform, AWS, or Azure)
 * Experience with MLOps practices - model versioning, monitoring, deployment pipelines, and productionization - is a significant differentiator
 * Exceptional communication skills - you can explain a gradient boosting model to a CFO and a business case to an ML engineer, and both conversations land
 * Demonstrated ability to lead technical workstreams and mentor junior team members
 * Consulting or client-facing experience is highly desirable; the ability to manage ambiguity, scope problems, and deliver under pressure is essential
 * Exposure to marketing analytics, customer analytics, or demand forecasting in a consumer-facing industry is a meaningful asset, We want builders, thinkers, and fast learners - people who are energized by ambiguity, motivated by impact, and who can hold their own in a room with a senior client. You're the kind of person who asks "why?" before jumping to "how," and you never stop at "good enough."
 * 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 - you can represent Artefact confidently in front of clients
 * Proven ability to collaborate across diverse, multicultural teams; strong intercultural communication skills are essential
 * 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; you lift the people around you
 * Exposure to strategy consulting and/or digital marketing is a strong asset, but not a dealbreaker

## Description

As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements. You'll move fluidly between data exploration, model development, and executive communication - bringing scientific rigor to business problems and translating results into strategies that clients actually implement.

This isn't a role where you hand off findings and walk away. You'll be embedded with clients, co-owning outcomes, and ensuring that the models you build don't just perform in a test environment - they create real, lasting impact in production. You'll also be a technical anchor for our US team, setting standards, mentoring junior data scientists, and contributing to the methodologies that define Artefact's edge., * Designing and building end-to-end machine learning and statistical models that solve high-stakes business problems - from framing the question to deploying the solution

 * Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions
 * Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders - making the technical accessible without dumbing it down
 * Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines
 * Defining the analytical approach for client engagements - selecting the right methods, tools, and frameworks for the problem at hand, not just the ones you're most comfortable with
 * Contributing to new business proposals - helping articulate Artefact's technical capabilities and translating data science into clear client value
 * Developing thought leadership and internal methodologies - publishing research, building reusable frameworks, and raising the technical bar across the practice
 * Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth

What We Are Looking For

We want someone who is as comfortable whiteboarding a modeling strategy with a client's Chief Analytics Officer as they are debugging a pipeline at 11pm before a big delivery. You've shipped models that people actually use. You've sat in rooms where the business stakes were real, and you've delivered. You know the difference between a technically elegant solution and a practically useful one - and you always choose useful., As a Junior Data Consultant, you'll sit at the intersection of business strategy and data - helping clients make smarter decisions, faster. You'll work directly with clients to understand their challenges, dig into their data, uncover insights that change how they operate, and communicate those findings in ways that drive action.

This is not a back-office analytics role. You'll be client-facing, intellectually challenged, and given real responsibility from day one. Our best junior consultants don't stay junior for long.

Day-to-day responsibilities include:

 * Collecting, cleaning, and organizing data from diverse sources - databases, spreadsheets, APIs, and web-based tools
 * Preparing and structuring data for analysis, including quality checks, error correction, and formatting for statistical software
 * Analyzing data using tools such as Excel, SQL, Python, or R to surface trends, patterns, and actionable insights
 * Translating complex data findings into clear, compelling narratives for both technical and non-technical audiences
 * Partnering with clients to deeply understand their business objectives and co-developing data-driven strategies to meet them
 * Staying sharp: actively investing in your own professional development as the data and AI landscape evolves rapidly


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