Data Scientist

Job Description

Pay Range: $137hr - $142hr

• The Data Scientist leads the development and implementation of complex data science models to drive business insights and operational impact.
• This role translates business needs into well-defined data science problems, selects appropriate models and algorithms, and communicates results and implications to stakeholders.
• The Data Scientist partners closely with business leaders, mentors junior team members, and applies advanced analytics, machine learning, and statistical techniques to support strategic decision‑making.

• Ability to lead development of high‑complexity data science models and training datasets.
• Hands‑on experience executing and implementing data science and machine learning models.
• Strong ability to translate business problems into analytical and modeling solutions.
• Capability to prioritize work for maximum business and operational impact.
• Ability to balance analytics value, model design, and technology choices with a bias toward action.
• Strong collaboration skills and ability to mentor junior data scientists.
• Ability to assess business implications of modeling assumptions, methodologies, and results.

• Job‑related experience of eight years, or six years with a Master’s degree, or three years with a Doctorate degree.
• Minimum of five years of experience in data modeling.
• Experience collaborating across multiple lines of business and with senior leadership.
• Experience managing or overseeing complex analytics projects and programs.

• Lead development and maintenance of advanced quantitative models and analytical tools.
• Translate business analysis needs into clearly defined data science problems and solutions.
• Select appropriate algorithms, evaluate models, and communicate outcomes to stakeholders.
• Develop and revise models to predict business demand trends, forecasts, capacity analysis, and other key metrics.
• Perform advanced analysis on complex datasets and deliver customized reports and recommendations.
• Create and maintain process models, documentation, and business artifacts supporting technical architecture.
• Collaborate with leaders and partners on cross‑functional initiatives and analytics projects.
• Develop deep understanding of business drivers and financial levers to support strategic decisions.
• Maintain detailed project schedules and work plans for analytics initiatives.

• Machine learning and algorithm development.
• Strong foundation in mathematics and statistics, including probability, linear algebra, calculus, and statistical inference.
• Programming proficiency in Python, R, and SQL.
• Experience with model evaluation, optimization, and feature engineering.
• Strong presentation and communication skills for executive‑level audiences.
• Ability to present insights through visualizations, dashboards, and presentations.
• Understanding of domain‑specific data and analytics applications preferred.

• Bachelor’s degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or a related field, or equivalent experience.
• Advanced degree preferred in engineering, computer science, mathematics, or a related discipline.
• Experience with data science tools and technologies such as Pandas, machine learning frameworks, big data platforms, and cloud computing environments preferred.