Sr. Data Scientist

Hitachi • Dallas, TX

1d • $110,000 - $120,000

About The Position

Hitachi Vantara is hiring a Sr. Data Scientist for its Global Analytics & Decision Sciences (GADS) team within the Finance Organization. The team works across business functions to drive growth, support data-driven decision-making, and solve complex business problems. The role collaborates with stakeholders across services, sales, marketing, product management, finance, pricing, and partner operations, as well as business owners and leaders across the organization. It uses diverse data sources to analyze business problems, translate insights into action, and support executive decision-making.

The ideal candidate applies advanced analytical, statistical, and scientific modeling techniques to support global strategies. The role develops scalable data and analytics solutions, uses advanced quantitative methods and predictive modeling, evaluates emerging technologies, and communicates findings to management and executive audiences. It also leads AI and machine learning adoption initiatives, establishes best practices, scales capabilities across the team, and mentors junior colleagues.

Requirements

• Bachelor’s degree in Statistics, Data Science, Quantitative Economics, Marketing Analytics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• At least 5 years of experience as a Data Scientist or in a similar analytical, quantitative, or technical role.
• Strong problem-solving and analytical skills, including the ability to translate complex data into actionable insights.
• Proficiency in Python and SQL, with hands-on experience in data engineering, data wrangling, feature engineering, and scalable data processing.
• Experience with statistical analysis and machine learning techniques such as regression, hypothesis testing, dimensionality reduction, predictive modeling, and data mining.
• Experience working with diverse data sources, data platforms, and reporting or analytics tools, such as SQL Server and Denodo or similar technologies.
• Experience with cloud platforms, including storage, querying, and advanced analytics, such as AWS, GCP, or Azure.
• Strong data visualization and storytelling skills, with proficiency in Power BI and advanced Excel.
• Strong understanding of data modeling principles, machine learning libraries, and best practices.
• Ability to manage multiple priorities and thrive in a fast-paced, ambiguous environment.
• Ability to explore and leverage new data sources, tools, and methodologies to improve analytical capabilities and business outcomes.
• Strong collaboration and communication skills, with experience working across diverse teams and stakeholders.

Nice To Haves

• Master’s degree with relevant professional experience preferred.

Responsibilities

• Collaborate with stakeholders and cross-functional teams to understand enterprise-wide analytical needs, frame questions, translate requirements into data and analytics solutions, and align objectives and measurable outcomes.
• Provide thought leadership in advanced analytics, including statistical analysis and descriptive, diagnostic, predictive, and prescriptive modeling, to solve business challenges and shape analytical strategy.
• Synthesize insights across financial performance, forecasts, products, geography, industries, competitive landscape, and customer segments to support decisions and strategic direction.
• Design and develop scalable data and analytics solutions using programming languages, data platforms, cloud technologies, and visualization tools.
• Apply advanced statistical and quantitative techniques, including complex predictive modeling, to develop data-driven solutions and deliver actionable insights.
• Evaluate current and emerging technologies to identify trends, enhance analytical capabilities, and recommend innovative solutions.
• Lead cross-functional projects and programs, presenting complex analytical findings clearly to management and executive audiences.
• Lead AI and machine learning initiatives, establish best practices, and scale capabilities across the team.
• Mentor and develop junior team members in advanced analytics and data science practices.
• Provide regular updates and insights to management.

Benefits

• Industry-leading benefits, support, and services for holistic health and wellbeing.
• Flexible arrangements, depending on role and location.
• Eligible to participate in bonus, variable, or commission pay programs where applicable, subject to program conditions and restrictions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior