Data Scientist

 Posted 3 months ago
     
5-10 years experience
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AI Summary

The Data Scientist will analyze large and complex datasets to identify actionable insights supporting business decisions and develop, train, and validate statistical and machine learning models to solve business problems. Responsibilities also include collaborating with cross-functional teams, performing data preparation, and communicating results to stakeholders.

At Talentus Global, we are looking for you!

 

We are a U.S. company with a strong presence in LATAM and across 20+ countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing, and top ERP & CRM solutions—driven by our practices across many industries, including Higher Education.

 

We are currently looking for a Data Scientist, to become a valuable addition to our dynamic team! 

 

Responsibilities:

 

-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.

 

Qualifications:

-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.

 

What do we offer?

· 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) 

 

 

Join us if you have what it takes to be part of the Talentus Global Team!

 

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