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Junior Scientist, Data Science - Hybrid
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Junior Scientist, Data Science - Hybrid
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: XPO is a top ten global provider of transportation services, and they are seeking a Scientist, Data Science to analyze and interpret large data sets to identify opportunities that will improve operational and financial performance. The role involves partnering with technology and business stakeholders, leveraging data analytics, and applying machine learning and optimization methods to solve critical problems. Responsibilities: • Analyze and interpret large data sets to identify opportunities that will improve XPO’s operational and financial performance • Partner with technology and business stakeholders to create and enhance processes, software applications, metrics and decision-making • Serve as a subject matter expert in one or more facets of the operations • Leverage data analytics and modelling techniques to improve overall operational performance • Perform various analytics that range in complexity from descriptive, diagnostic, predictive, prescriptive and cognitive depending on the project • Apply Machine Learning, AI, statistical and/or optimization methods on an as needed basis • Combine your technical skills (computer science, mathematics) with business acumen to solve XPO’s most critical problems Qualifications: Required: • Bachelor’s degree or equivalent related work or military experience • 1 year experience in data science, operations research, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization • Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc. • Familiarity with machine learning and statistical methods • Strong communication skills with a knack for explaining complex topics simply Preferred: • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics or any related quantitative discipline • A Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or any related quantitative discipline • 3 years of experience in data science, operations research, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization • Demonstrated examples of generating business insights that improved operations or financials • Solid foundation of statistics (hypothesis testing, outlier detection, statistical inference & analysis) • Applied supervised and/or unsupervised learning algorithms Company: XPO is a provider of freight transportation and logistics services. Founded in 1989, headquartered in Greenwich, Connecticut, USA, team size 10001+ employees, currently Public Company. XPO has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Junior Scientist, Data Science - Hybrid
role at
Jobright.ai 3 days ago Be among the first 25 applicants Join to apply for the
Junior Scientist, Data Science - Hybrid
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: XPO is a top ten global provider of transportation services, and they are seeking a Scientist, Data Science to analyze and interpret large data sets to identify opportunities that will improve operational and financial performance. The role involves partnering with technology and business stakeholders, leveraging data analytics, and applying machine learning and optimization methods to solve critical problems. Responsibilities: • Analyze and interpret large data sets to identify opportunities that will improve XPO’s operational and financial performance • Partner with technology and business stakeholders to create and enhance processes, software applications, metrics and decision-making • Serve as a subject matter expert in one or more facets of the operations • Leverage data analytics and modelling techniques to improve overall operational performance • Perform various analytics that range in complexity from descriptive, diagnostic, predictive, prescriptive and cognitive depending on the project • Apply Machine Learning, AI, statistical and/or optimization methods on an as needed basis • Combine your technical skills (computer science, mathematics) with business acumen to solve XPO’s most critical problems Qualifications: Required: • Bachelor’s degree or equivalent related work or military experience • 1 year experience in data science, operations research, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization • Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc. • Familiarity with machine learning and statistical methods • Strong communication skills with a knack for explaining complex topics simply Preferred: • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics or any related quantitative discipline • A Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or any related quantitative discipline • 3 years of experience in data science, operations research, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization • Demonstrated examples of generating business insights that improved operations or financials • Solid foundation of statistics (hypothesis testing, outlier detection, statistical inference & analysis) • Applied supervised and/or unsupervised learning algorithms Company: XPO is a provider of freight transportation and logistics services. Founded in 1989, headquartered in Greenwich, Connecticut, USA, team size 10001+ employees, currently Public Company. XPO has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Science Specialist” roles.
Framingham, MA $92,900.00-$118,500.00 3 days ago Boston, MA $104,080.00-$166,320.00 2 days ago Boston, MA $85,000.00-$120,000.00 2 hours ago Boston, MA $119,000.00-$169,000.00 2 months ago Boston, MA $119,000.00-$169,000.00 1 month ago Data Scientist - Bioinformatics/pharmaceutical
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Boston, MA $110,018.00-$157,169.00 2 weeks ago Boston, MA $130,000.00-$175,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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