Data Scientist

itD is seeking a Data Scientist V to drive data-informed decision-making by translating large-scale datasets into actionable insights, defining business objectives and success metrics, and developing analytical models that identify trends, uncover opportunities, and guide strategic decisions. The ideal candidate will bring 10+ years of industry experience in quantitative analysis, advanced SQL, Python, and statistical modeling , with a proven ability to deliver meaningful insights, communicate findings to diverse audiences, and independently drive analytical initiatives.

Contract Duration: 6 months, with potential for extension
Pay Rate: Up to $60per hour, depending on experience.
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.

Company Description
About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.

The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit to learn more about what working at itD can mean for you.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at View email address on click.appcast.io and let us know the nature of your request and your contact information.

Additional Info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done,

Responsibilities

• Conduct exploratory data analysis (EDA) to identify trends, patterns, correlations, root causes of metric changes, and opportunities for business improvement using large-scale datasets.
• Define business objectives and success metrics in partnership with stakeholders, establishing measurable objectives and key results (OKRs) and tracking progress against short- and long-term goals.
• Develop and optimize advanced SQL queries and analytical workflows to extract, transform, analyze, and interpret complex datasets, enabling accurate and efficient data-driven decision-making.
• Build predictive and forecasting models using statistical and machine learning techniques, including regression, clustering, and classification, and evaluate model performance to generate actionable recommendations.
• Design high-performance dashboards and visualizations that communicate key metrics, provide clear narratives, and enable stakeholders to explore data and monitor business performance.
• Translate analytical findings into compelling data stories by presenting insights, prioritized recommendations, and estimated business impact to both technical and non-technical audiences.
• Develop research plans and conduct experiments by formulating hypotheses, selecting appropriate analytical methods, and evaluating results to answer business questions and identify new opportunities.

Internal Responsibilities

• Attend regular internal practice community meetings.
• Collaborate with your itD practice team on industry thought leadership.
• Complete client case studies and learning materials, including blogs and media content.
• Build materials that contribute to the Digital Transformation practice.
• Attend internal itD networking events, both in person and virtually.
• Work with leadership on career fast-track opportunities.

Required Qualifications and Skills

• 10+ years of industry experience solving analytical problems using quantitative methods and data-driven approaches.
• Advanced SQL proficiency , including complex querying, joins, aggregations, filtering, grouping, and analytical functions.
• Python proficiency for data analysis, scripting, and analytical problem-solving.
• Demonstrated experience conducting exploratory data analysis, defining and monitoring key metrics, investigating metric changes, and identifying business opportunities.
• Strong understanding of statistical analysis, quantitative methods, and data interpretation.
• Experience collaborating with stakeholders to define business objectives, OKRs, and measurable success metrics.
• Ability to independently analyze complex datasets and develop actionable, evidence-based recommendations.
• Strong communication skills, including the ability to explain analytical approaches and present complex findings to technical and non-technical audiences.

Preferred Qualifications and Skills

• Experience designing interactive dashboards, data visualizations, and high-performance analytical reports.
• Experience developing predictive and forecasting models using regression, clustering, classification, or other statistical techniques.
• Experience designing research plans, formulating hypotheses, and conducting experiments to evaluate business questions.
• Demonstrated ability to develop compelling data narratives that translate analytical findings into prioritized business actions.
• Experience working with large-scale data environments and supporting data-driven decisions in complex organizations.

Education

Bachelor’s degree in a relevant field or equivalent work experience required.