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Data Science Jobs in Toronto, OH (NOW HIRING)

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

New

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... Demonstrate senior-level Python proficiency and sound computer-science fundamentals. * Treat ...

New

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Work closely with data analysts and data scientists to deliver high-quality datasets. * Optimize performance and scalability of data pipelines. * Implement data quality checks and monitoring ...

... in data science and machine learning space good in finance - Pittsburgh and Lake Mary are available office locations - Team is built in 2020 and growing, about 35 ppl now and hiring more - Need to ...

Senior Product Designer, AI

Moon Township, PA · On-site +1

$105K - $145K/yr

Facilitate alignment with product, engineering, data science, and business stakeholders to turn ambiguous problems into clear product directions. * Design intelligent workflows, including human ...

Facilitate alignment with product, engineering, data science, and business stakeholders to turn ambiguous problems into clear product directions. * Design intelligent workflows, including human ...

Associate's degree or equivalent technical experience in Engineering Technology, Computer Science ... Experience working with manufacturing data, industrial systems, or production environments.

Data Engineer

Pittsburgh, PA · On-site

$108K - $130K/yr

• Current major goal of project is to move from OnPrem to cloud storage to SaaS • ThoughtSpot is a BI tool for the enterprise (internal users) • Team is made of data engineers and business ...

Conduct routine data collection, synthesis, and analysis using approved procedures appropriate for ... Bachelor's degree in Environmental Science, Geology, or other related disciplines * 2+ years of ...

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Data Science information

See Toronto, OH salary details

$33.5K

$109.5K

$175.3K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Toronto, OH is $109,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $121,300.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Toronto, OH? The most popular types of Data Science jobs in Toronto, OH are:
What are popular job titles related to Data Science jobs in Toronto, OH? For Data Science jobs in Toronto, OH, the most frequently searched job titles are:
What cities near Toronto, OH are hiring for Data Science jobs? Cities near Toronto, OH with the most Data Science job openings:
Infographic showing various Data Science job openings in Toronto, OH as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $109,486 per year, or $52.6 per hour.

Marketing Data Science Advisor (Multi-Level)

Federal Express Corporation

Moon Township, PA • On-site, Remote

$8.7K - $12K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description


Independently assumes lead roles in larger and higher revenue threshold projects. Key contributor to deriving business insights and analyzing business problems of high complexity. generates computer aided quantitative and statistical business analysis by leveraging advanced tools and scientific modeling approaches related to customer analytics, market analysis and forecasting in support of the organization's global strategies.

Job Specific Information:

The incumbent for this positions will be part of the International Express Forecasting team in Corporate Strategy and Market Analytics department and this job role will include:

  • Develop deep understanding of FedEx and TNT customer/product portfolio, business profile, history, and stay aligned with corporate strategies, and forecast needs

  • Collaborate with mega regions to develop International Express short-term business planning and medium term strategic outlook

  • Stay on top of relevant market trends, competitive activities, market demand/capacities, world economy, international trade, FedEx/TNT integration, Pricing strategies, Marketing/Sales/Operation strategies, customer trends and incorporate insights into the forecasting methods for improved strategic planning and decision making

  • Apply advanced analytical methods (Econometrics/Statistics/AI/DSML) and programming languages (SAS on Linux, Python and other) to develop/improve large scale forecasting models for FedEx and TNT Air Express, intra-regional Ground and Domestic products

  • Provide timely forecast update on business performance and support various needs for operation and business decisions

  • Develop forecast/plan reporting utilities and infrastructure to support reviews with executives and related business units in FedEx mega regions

  • Continuously improve revenue plan process and pushing for forecasting transformation, acquiring and aligning forecasting/planning assumptions and parameters for worldwide regions/countries related to regional strategies, and various assumptions

  • Collaborate with regional/functional stakeholders for seamless alignment in the end-to-end planning processes

  • Providing ad hoc executive support related to Guess forecast, earnings release, yield decomposition/analysis, and peak season forecast/performance

Minimum Qualifications:

  • Master's Degree in business, mathematics, economics, computer science or other quantitative field such as engineering/operations research.

  • Three (3) years work experience required in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role.

  • Two (2) years of experience or coursework with the following skills (skills can be gained concurrently with education): computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research), SAS, SQL, Unix or any fourth-generation programming language.

  • Strong human relations, communications and analytical skills.

  • More advanced degrees may offset experience requirements.

Skills/Knowledge/Experience Considered a Plus:

  • Ability to handle ambiguous situation well

  • Advanced skills in analytics and modeling techniques including programming languages

  • Strong influencer who can work with cross-opco stakeholders in shaping strategic directions of the company

  • Story telling (articulate problem statement/assumptions & critical insights from complex models in simple terms)

  • Excellent team player who can work closely with Corporate Strategy, Express Finance and the Regional planning/marketing teams

  • Problem solver with a positive mindset to deliver purple promise

Domicile/Relocation:

  • This position will be located in Memphis, Tennessee. Ability to work remotely within the United States may be available based on business needs. Relocation assistance may also be available based on business needs.

Application Instructions/Deadline:

  • Upload current copy of Resume (Microsoft Word or PDF version) and answer job screening questions to apply by close of business (5:00 PM CST) on July 14, 2021.

Compensation:

Monthly Salary: $8713.16 - $12396.00

The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your remote work location (for remote postings), how many years of experience you have, and comparison to other employees already in this role.

Employee Benefits: medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.


Minimum Education

Masters degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. Directly related advanced degrees may offset experience requirements.

Minimum Experience

Three (3) years work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role required. Two (2) of those years of experience or coursework should be with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc. will be considered equivalent.

Knowledge, Skills and Abilities

Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills

Strong problem solving abilities

Analytical/modeling language knowledge

Advanced statistical analysis knowledge, and other quantitative analysis of complex business situations

Ability to communicate highly complex information in an understandable manner to both technical and non-technical audiences at all levels

Strong collaboration and project leadership skills

Ability to mentor lower levels


Preferred Qualifications:

Pay Transparency:

Pay:

Additional Details: Posting closes on: 08/11/2026 at 4:00 PM CST / 5:00 PM EST.


For details on our comprehensive benefits, click here.


Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)

Employment Type: FULL_TIME