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Open nowPosted yesterday

Sr. Data Scientist

Hitachi4,480 open roles

Where
Dallas, Texas, United States
Work mode
Remote
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Your applicationOpen nowSr. Data ScientistHitachi · Dallas, Texas, United States

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted yesterday

The posting

Function

Finance

Our Company

We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks ­– can focus on achieving the incredible with data.

If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data.

Job description

The Team

Hitachi Vantara is looking for a Sr. Data Scientist to join its Global Analytics & Decision Sciences (GADS) team. Being a part of the Hitachi Vantara Finance Organization, this team connects the dots across multiple business functions to drive growth, enable data-driven decision-making, and solve complex business problems.

In this role, you will collaborate with a broad range of internal stakeholders, including and not limited to services, sales, marketing, product management, finance, pricing, and partner operations, as well as key business owners and stakeholders across multiple levels and functions within the organization. You will work with diverse data sources to analyze business problems, translate insights into action, and support executive decision-making.

The ideal candidate combines strong analytical and problem-solving skills, with the ability to perform computer-aided quantitative and statistical analysis using advanced tools and scientific modeling techniques in support of the organization’s global strategies. The candidate must demonstrate strong attention to detail and data quality, along with the ability to adapt quickly in a fast-paced, dynamic environment.

The Role

  • Collaborate with business stakeholders and cross functional teams to understand enterprise-wide analytical needs, frame key questions, translate requirements into actionable 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 complex business challenges and shape analytical strategy.
  • Synthesize insights across multiple business dimensions, including financial performance, forecasts, products, geography, industries, competitive landscape, and customer segments, to drive data-driven decision-making and strategic direction.
  • Design and develop scalable data and analytics solutions using programming languages (e.g., Python, SQL), data platforms (e.g., SQL Server, Oracle), cloud technologies (e.g., AWS), and visualization tools (e.g., Power BI).
  • Apply advanced statistical and quantitative techniques, including high complexity predictive modeling, to develop data driven solutions and deliver actionable, fact-based insights.
  • Evaluate and utilize current and emerging technologies to identify trends, enhance analytical capabilities, and deliver innovative solutions and recommendations.
  • Lead cross functional projects and programs, communicating complex analytical findings through clear and concise presentations to management and executive audiences.
  • Drive adoption of Artificial Intelligence (AI) and Machine Learning (ML) by leading initiatives, establishing best practices, and scaling capabilities across the team.
  • Mentor and develop junior team members in advanced analytics and data science practices and provide regular updates and insights to management.

What You’ll Bring

  • Bachelor’s degree in Statistics, Data Science, Quantitative Economics, Marketing Analytics, Mathematics, Computer Science, Engineering, or a related quantitative field; Master’s degree with relevant professional experience preferred.
  • Minimum of 5+ years of experience as a Data Scientist or in a similar analytical, quantitative, or technical role.
  • Strong problem-solving and analytical skills, with 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 (e.g., regression, hypothesis testing, dimensionality reduction, predictive modeling, and data mining) to generate actionable business insights.
  • Experience working with diverse data sources, data platforms, and reporting/analytics tools (e.g., SQL Server, Denodo or similar technologies).
  • Experience with Cloud platforms, including storage, querying, and advanced analytics (AWS, GCP or Azure).
  • Strong data visualization and storytelling skills, with proficiency in tools such as Power BI and advanced Excel.
  • Strong understanding of data modeling principles, ML libraries and best practices.
  • Proven ability to manage multiple priorities and thrive in a fast-paced, ambiguous environment.
  • Demonstrated 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.

As required by the equal pay and transparency acts, the expected base salary for this position is: $110K USD to $120K USD. Expected on-target earnings: $123K USD to $135K USD.

The expected pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi Vantara’s bonus/variable/commission pay programs, where applicable, and are subject to the program’s conditions and restrictions.

#LI-JT1

About us

We’re a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

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