Data Scientist
Talentus Global
contract
Posted on:
Location Type: Remote
Location: Colombia
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About the role
- Analyze large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
- Develop, train, and validate statistical and machine learning models to solve business problems and improve operational performance.
- Apply advanced analytics techniques such as predictive modeling, classification, clustering, and forecasting.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Perform data exploration, cleaning, and feature engineering to prepare datasets for modeling and analysis.
- Design and conduct experiments and A/B tests to evaluate model performance and business impact.
- Communicate insights and model results to technical and non-technical stakeholders through reports, visualizations, and presentations.
- Work with data engineers and ML engineers to deploy models and integrate analytical solutions into production environments.
- Develop dashboards and data visualizations to support business intelligence and reporting needs.
- Ensure data quality, integrity, and proper documentation of analytical processes.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- 4–6+ years of experience in data science, advanced analytics, or statistical modeling.
- Strong programming skills in Python or R, with experience using libraries such as Pandas, NumPy, Scikit-learn, or similar tools.
- Solid understanding of statistical analysis, machine learning algorithms, and predictive modeling techniques.
- Experience working with large datasets and database technologies such as SQL.
- Familiarity with data visualization tools such as Tableau, Power BI, or Python visualization libraries.
- Experience with data manipulation, data wrangling, and exploratory data analysis.
- Knowledge of machine learning model evaluation, feature engineering, and experimentation techniques.
- Experience working with cloud platforms such as AWS, Azure, or Google Cloud is a plus.
- Strong analytical thinking and problem-solving abilities.
- Excellent communication skills with the ability to explain complex data insights to non-technical stakeholders.
- Advanced English proficiency skills (C1) required.
Benefits
- Contractor model
- Remote model
- Salary in $USD
- Paid Vacations
- Day off for birthdays
- Benefits courses and/or certifications
- Opportunity to work with top-tier U.S. clients.
- Entrepreneurial, multicultural team culture.
- Work–Life Balance program: 4-day work week (Monday to Thursday)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisstatistical modelingmachine learningpredictive modelingclassificationclusteringdata cleaningfeature engineeringdata manipulationexploratory data analysis
Soft Skills
analytical thinkingproblem-solvingcommunication