Data Scientist II - Remote (6030)

itD Tech

2d•Remote

About The Position

itD is seeking a Data Scientist to produce innovative, data-driven solutions through exploratory analysis of complex, high-dimensional datasets. This role contributes directly to product improvement and business decision-making by transforming raw data into actionable insights, scalable models, and impactful prototypes. The ideal candidate brings strong experience in data science, statistics, and machine learning, along with a proven ability to analyze large datasets and deliver meaningful analytical outcomes. Location: Remote (U.S.-based); preference for PST We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Requirements

3+ years of experience in data science, analytics, or research-focused roles.
Proficiency in Python and/or R for data analysis and modeling.
Experience working with large, complex datasets.
Hands-on experience with data querying and analysis using SQL.
Strong written communication skills with the ability to clearly convey complex analytical concepts.
Bachelor’s degree in economics, mathematics, computer science, engineering, statistics, or a related field required.

Nice To Haves

Experience with big data tools such as Hadoop.
Experience with data visualization tools such as Tableau.
Exposure to product experimentation, A/B testing, or large-scale analytics initiatives.
Master’s degree in computer science or a relevant field preferred.

Responsibilities

Apply advanced statistical, mathematical, and machine learning techniques to identify patterns, opportunities, and insights within complex datasets.
Design, develop, and evaluate predictive models and advanced algorithms to optimize value extraction from data.
Conduct exploratory data analysis to generate hypotheses, test assumptions, and interpret experimental results.
Partner with product and engineering teams to translate analytical prototypes into scalable products, services, and features.
Support business intelligence and data visualization efforts, including dashboard development and ad-hoc analytical requests.
Analyze large datasets using SQL and Python to meet defined analytical deliverables and reporting requirements.
Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material (blogs, media material).
Build out material to contribute to the Digital Transformation practice.
Attend internal itD networking events (in person and virtual).
Work with leadership on career fast-track opportunities.