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Latin America Data Science Jobs (NOW HIRING)

Fractal River

Data Engineer (Remote - Latin America)

$117K - $140K/yr

We are seeking a Software and Data Engineer to join our team. What you'll do: * Help design and ... Bachelor's degree in computer science or similar field Besides the benefits that, as per law, you ...

Publicis Groupe Holdings B.V

Data Scientist

Chicago, IL · Hybrid

... Latin America, Europe, Middle East, Africa, and Asia Pacific. Responsibilities * Assist with and execute data science projects, working with product, engineering and/or customer service teams to ...

Publicis Groupe Holdings B.V

Data Scientist

Columbia, MD · On-site

$73K - $136K/yr

... Latin America, Europe, Middle East, Africa, and Asia Pacific. Responsibilities * Assist with and execute data science projects, working with product, engineering and/or customer service teams to ...

Publicis Groupe Holdings B.V

Data Scientist

Irving, TX · Hybrid

... Latin America, Europe, Middle East, Africa, and Asia Pacific. Responsibilities * Assist with and execute data science projects, working with product, engineering and/or customer service teams to ...

Hertz

Sr Data Scientist - Commercial

Atlanta, GA · On-site

$105K/yr

Master's degree in operations research, statistics, computer science, or a related quantitative ... Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz ...

Hertz

Sr Data Scientist - Commercial

Atlanta, GA · On-site

$105K/yr

Master's degree in operations research, statistics, computer science, or a related quantitative ... Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz ...

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All JobsLatin America Data Science Jobs

Latin America Data Science information

What is the difference between Latin America Data Science vs Data Analyst?

AspectLatin America Data ScienceData Analyst
Required skillsStatistical analysis, programming (Python, R), machine learningData visualization, basic statistics, Excel, SQL
Work environmentTech companies, finance, consulting firms in Latin AmericaBusiness departments, marketing, finance teams
CertificationsData Science certifications, degrees in related fieldsData analysis courses, Excel certifications

Latin America Data Science roles typically require advanced programming and machine learning skills, working in tech-driven environments. Data Analysts focus on interpreting data through visualization and basic analysis, often within business units. Both roles are in demand across industries, but Data Science positions usually demand more technical credentials and involve more complex modeling tasks.

What is a Latin America Data Science professional?

A Latin America Data Science professional specializes in analyzing and interpreting complex data sets relevant to Latin American markets or organizations. They use statistical methods, machine learning, and programming skills to extract insights, identify trends, and support data-driven decision-making tailored to the region's unique economic, social, and cultural contexts. These professionals often work in industries such as finance, healthcare, government, and technology, helping organizations leverage data to solve regional challenges and gain competitive advantages.

What are some common challenges faced by data scientists working in the Latin America region, and how can they be addressed?

Data scientists in Latin America often encounter challenges such as limited access to high-quality, region-specific datasets, language barriers, and varying levels of digital infrastructure across countries. To address these, many teams prioritize building local partnerships for data collection, invest in multilingual model development, and leverage cloud-based tools to overcome infrastructure gaps. Collaborating closely with cross-functional teams—including local business units and IT—also helps ensure solutions are relevant and scalable within the regional context.

What are the key skills and qualifications needed to thrive as a Latin America Data Scientist, and why are they important?

To thrive as a Latin America Data Scientist, you need strong statistical analysis, programming (Python or R), and data interpretation skills, usually supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, SQL databases, and visualization tools like Tableau or Power BI is typically required, along with proficiency in Spanish or Portuguese. Excellent problem-solving, cross-cultural communication, and adaptability enable effective collaboration with diverse regional teams. These competencies are crucial for generating actionable insights from complex datasets and driving data-driven decisions within the Latin American market.
Infographic showing various Latin America Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Assistant Pitching Coordinator, Latin America

Assistant Pitching Coordinator, Latin America

Baltimore Orioles

Sarasota, FL • On-site

Full-time

Posted 9 days ago

Job description

JOB TITLE: Assistant Pitching Coordinator, Latin America
DEPARTMENT: Player Development
JOB SUMMARY: The Baltimore Orioles are seeking a full-time Assistant Pitching Coordinator focused on our Latin American Pitching Prospects for the 2026 Major League Baseball Championship season. This position is primarily based out of Sarasota FL. during the season but will have a travel component involved. This position will assist Pitching Leadership in the acquisition and development of Latin American Pitchers ranging from the Complex in the Dominican Republic to Full Season Minor League Affiliates. This is a contracted position that receives full-time employee benefits.
REPORTS TO: VP of Player Development & Domestic Scouting, Director of Pitching Development, Minor League Pitching Coordinator Group
PRIMARY RESPONSIBILITIES (not limited to):
  • Assist Coaches and Coordinators developing player development plans.
  • Assist Coaches and Coordinators in day-to-day training of healthy pitchers.
  • Assist Coaches in execution of throwing rehabilitation programs.
  • Collaborate with the Pitching Leadership group to design and execute individualized player plans.
  • Utilize organizational coaching tools and analytical tools to help inform decision making.
  • Assist Pitching Coordinator group with Special Projects depending on the candidate's unique skill set.
  • Roving responsibilities are variable in the season and off-season camps.
  • Off-season responsibilities will include on-site development camps and remote training.
  • Will work primarily out of the Ed Smith Complex in Sarasota FL during the season with roving responsibilities to the DR Complex and Full Season Affiliates.
  • Spring Training will be based out of Twin Lakes Park in Sarasota FL.

QUALIFICATIONS:
Required:
  • Fluent Spanish and English-Speaking Skills.
  • Exceptional organization and communication skills.
  • Strong interpersonal skills and emotional intelligence.
  • Appreciation/Experience using data and information from technologies such as Trackman, Rapsodo, and Edgertronic Cameras.
  • Appreciation/Experience for functional movement and biomechanical development.
  • Intrinsically motivated, reliable, growth mindset.

Desired:
  • Former Collegiate or Professional playing experience.
  • Experience as a Pitching Coach.
  • Full time relocation to Sarasota FL desired, not required.

DISCLAIMER:
The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The duties listed do not represent an exhaustive list of all responsibilities, duties, and skills required of a person in this position.
EQUAL OPPORTUNITY STATEMENT:
The Baltimore Orioles are an Equal Opportunity Employer. It is the policy of the Baltimore Orioles to ensure equal employment opportunity without discrimination or harassment on the basis of race (including hair textures, afro hairstyles, or protective hairstyles), color, national origin or ancestry, religion or creed, gender or sex (including pregnancy), age, disability, citizenship status, marital status, veteran's status, genetic predisposition or carrier status, gender identity, sexual orientation, or any other characteristic protected by law.

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