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Data Science Jobs In Usa Jobs (NOW HIRING)

Manager, Data Science

Chicago, IL · On-site

$136K - $204K/yr

OverviewThe Data Science Manager II will lead a team focused on delivering business insights using ... At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in ...

Responsibilities : • Use leadership skills and data science expertise to create real-world impact ... Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The ...

The Director of Data Science will lead a team of data scientists in developing innovative solutions ... Founded in 2015, the company is headquartered in Cincinnati, USA, with a team of 1001-5000 ...

The Director of Data Science will lead a team of data scientists in developing innovative solutions ... Founded in 2015, the company is headquartered in Cincinnati, USA, with a team of 1001-5000 ...

They are seeking a Senior Manager of Data Science to lead a team of Data Scientists, improve data ... Founded in 2011, the company is headquartered in San Francisco, USA, with a team of 1001-5000 ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

... Data Science Manager. The role involves leading client-facing incrementality testing and ... Founded in 2016, the company is headquartered in Columbia, USA, with a team of 1001-5000 employees.

The (USA) Director, Data Science leads the development and deployment of advanced analytical models ... The position requires expertise in coding, data quality assessment, and visualization to translate ...

The (USA) Director, Data Science leads the development and deployment of advanced analytical models ... The position requires expertise in coding, data quality assessment, and visualization to translate ...

The (USA) Director, Data Science leads the development and deployment of advanced analytical models ... The position requires expertise in coding, data quality assessment, and visualization to translate ...

The (USA) Director, Data Science leads the development and deployment of advanced analytical models ... The position requires expertise in coding, data quality assessment, and visualization to translate ...

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Data Science Jobs In Usa information

What is the difference between Data Science Jobs In Usa vs Data Analyst Jobs In Usa?

AspectData Science Jobs In UsaData Analyst Jobs In Usa
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are common
Work EnvironmentOften involves building models, machine learning, and predictive analytics in tech, finance, or healthcare industriesFocuses on data cleaning, reporting, and visualization primarily in business and marketing sectors
Employer & Industry UsageUsed by tech companies, finance firms, healthcare providers, and research institutionsCommon in retail, marketing, finance, and corporate business departments

While both roles analyze data, Data Science Jobs In Usa typically involve advanced modeling and machine learning, requiring more technical skills and higher education. Data Analyst Jobs In Usa focus on interpreting data through reports and visualizations, often with less emphasis on coding or modeling.

What are data science jobs in the USA?

Data science jobs in the USA involve analyzing and interpreting complex data to help organizations make data-driven decisions. Professionals in these roles use statistical methods, programming, and machine learning techniques to extract insights from large datasets. Common job titles include Data Scientist, Data Analyst, Machine Learning Engineer, and Data Engineer. These positions are in high demand across industries like technology, finance, healthcare, and retail, offering competitive salaries and career growth opportunities.

What are some common challenges data scientists face when working in cross-functional teams in the USA?

Data scientists in the USA often collaborate with professionals from engineering, product management, and business units, which can present challenges such as aligning technical solutions with business goals and translating complex data insights into actionable recommendations. Effective communication is key, as stakeholders may have varying levels of data literacy. Additionally, navigating differing project priorities and timelines requires flexibility and strong project management skills. Building strong relationships and understanding each team's objectives can help overcome these challenges and lead to more impactful outcomes.

What are the key skills and qualifications needed to thrive in data science jobs in the USA, and why are they important?

To thrive in data science jobs in the USA, you typically need expertise in statistics, machine learning, data analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau), big data platforms (e.g., Hadoop, Spark), and cloud services (e.g., AWS, Azure) is highly valued, as are certifications like Certified Data Scientist or Google Data Analytics. Strong problem-solving skills, communication abilities, and business acumen help translate complex data findings into actionable insights for stakeholders. These skills and qualifications are crucial for driving data-driven decision-making and delivering value across diverse industries.
Infographic showing various Data Science Jobs In Usa job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Manager, Data Science

Ahold Delhaize USA

Chicago, IL • On-site

$136K - $204K/yr

Other

Posted 15 days ago


Ahold Delhaize USA rating

6.7

Company rating: 6.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

29th of 116 rated grocery stores


Job description

IntroductionAhold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

OverviewThe Data Science Manager II will lead a team focused on delivering business insights using data science expertise/techniques/tools that materially improve critical decisions by senior management and drive the business mission/strategy forward. This position provides effective leadership and hands-on, practical executional guidance to a specialized analytical team. While most projects focus on marketing, merchandising, or shopper analytics, projects range across the org.
Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Chicago, IL, and Quincy, MA.
Applicants must be currently authorized to work in the United States on a full-time basis.

Responsibilities

  • Provide ongoing leadership to a strong, capable team that meets or exceeds the company's Data Science requirements.
  • Develop and train team of Data Scientists to create quality models, ensuring outputs are logical and actionable.
  • Provide ongoing counsel to key clients Sr. Brand, Marketing and Merchandising Leadership and other key decision makers regarding proper interpretation and application of model output.
  • Provide input and significantly influence the development and refinement of company strategies.
  • Lead the development and deployment of customer segmentations, scores, store clustering and other KPI models to predict the impact of potential actions or programs being considered.
  • Lead innovation in data science methodologies and tools, staying abreast of industry developments related to data science and proactively exploring opportunities to advance organizational capabilities.
  • Develop strong relationships that enable learning about the business and how their work directly impacts decisions.
  • For specific projects, draw out critical information that impacts the learning objectives and incorporate into all work.
  • Identification of additional data requirements and partner with the data domain owners to collect and organize new data elements.
  • Maintain proficiency with major business systems and the data on which it relies.
  • Subject matter expert on methodologies and data sources used in modeling environment.

Requirements

  • At least 8 years' experience in Data Science.
  • At least 3 years of experience managing a team.
  • Strong foundation in statistics and machine learning.
  • Experience building customer segmentation models (experience in Fulfillment domain is a plus).
  • Programming Languages - SQL, Python, Spark.

Preferred Qualifications:
  • Master's Degree in Quantitative Field (Statistics, Mathematics, Economics, etc.
  • Experience in the Food industry (Grocery, CPG, etc.) or Retail industry.
  • Experience in the Fulfillment domain.
  • Experience with forecasting.
  • Experience with Databricks.

Salary Range: $136,160 - $204,240
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.


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