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Associate Data Science R Jobs in Massachusetts (NOW HIRING)

... data science, operations research, or data analysis with a focus on AI-driven analytics ... Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc ...

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... As an Inmar Associate, you: * Put clients first and consistently display a positive attitude and ...

... in data science, analytics, or machine learning • Proficiency in Python or R, with working knowledge of SQL • Familiarity with common machine learning techniques such as regression ...

Data Scientist

Boston, MA

$120K - $135K/yr

Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics, or machine learning * Proficiency in Python or R, with working knowledge of SQL

Master's degree OR Bachelor's degree and 2 years of Data Science experience OR Associate's degree ... Experience with Python, R, or related analytical programming languages. * Understanding of data ...

Master's degree OR Bachelor's degree and 2 years of Data Science experience OR Associate's degree ... Experience with Python, R, or related analytical programming languages. * Understanding of data ...

Data Scientist

Boston, MA · On-site

$120K/yr

Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics, or machine learning * Proficiency in Python or R, with working knowledge of SQL

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Associate Data Science R information

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist or an associate data science R. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming in R or Python, understanding statistics, and completing certifications or courses. Employers value skills and experience over age, and continuous learning can help you succeed in the field regardless of when you start.

What can I do with an associate's degree in data science?

An associate's degree in data science prepares individuals for entry-level roles such as data analyst, data technician, or junior data scientist. These positions involve working with data collection, cleaning, basic analysis, and using tools like Excel, SQL, or Python. Additional certifications and hands-on experience can enhance job prospects in this field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to focus on the most impactful variables or tasks to improve model performance efficiently.

What jobs can I get with R?

With R skills, you can pursue roles such as data analyst, data scientist, statistical programmer, or research analyst. These positions typically require proficiency in data manipulation, statistical modeling, and visualization, often using R packages like ggplot2, dplyr, and caret, and may involve working in industries like finance, healthcare, or technology.
What are popular job titles related to Associate Data Science R jobs in Massachusetts? For Associate Data Science R jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Associate Data Science R jobs in Massachusetts look for? The top searched job categories for Associate Data Science R jobs in Massachusetts are:
Senior Scientist, Data Science - Hybrid

Senior Scientist, Data Science - Hybrid

XPO Logistics

Boston, MA • On-site

$106K - $132K/yr

Other

Medical, Life, Retirement, PTO

Posted 5 days ago


XPO rating

7.1

Company rating: 7.1 out of 10

Based on 216 frontline employees who took The Breakroom Quiz

192nd of 345 rated logistics


Job description

Please note that the following enhanced screening and interview requirements apply to this role:  Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements.

What you'll need to succeed as a Senior Scientist, Data Science at XPO

Minimum qualifications:

  • Bachelor's degree or equivalent related work or military experience
  • 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization
  • Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects
  • Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning
  • Strong communication skills with a knack for translating complex AI concepts into clear business insights

Preferred qualifications:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
  • A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field
  • years of hands-on experience in developing and deploying optimization solutions
  • 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.
  • Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue
  • Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling
  • Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience
  • Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation
  • Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods

 

About the Senior Scientist, Data Science job

Pay, benefits and more:

  • Competitive compensation package
  • Full health insurance benefits are available on day one
  • Life and disability insurance
  • Earn up to 15 days of PTO over your first year
  • 9 paid company holidays
  • 401(k) option with company match
  • Education assistance
  • Opportunity to participate in a company incentive plan

What you'll do on a typical day:

  • Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company
  • Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions
  • You will be a thought leader for the practice of Data Science and Analytics across the organization
  • Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation
  • Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations
  • Communicate with technical and business-oriented audiences
  • Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges
  • Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance
  • Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs
  • Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO

Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. 

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. 

Review XPO's candidate privacy statement here.


What XPO employees say

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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US