Data Scientist Python Machine Learning

Data Scientist Python Machine Learning UST Global - 3.7 San Jose, CA Job Details 1 day ago Benefits Paid holidays Disability insurance Dental insurance Life insurance Qualifications AI models TensorFlow Spanish Databricks Data visualization software proficiency Data Integration (Data management) PyTorch R NoSQL English SQL Statistical analysis Model deployment Continuous integration Statistical modeling Forecasting GitHub Agile Machine learning libraries AI Cross-functional collaboration Machine learning frameworks MLOps Generative AI Cross-functional communication Database software proficiency Full Job Description 1 Opening San Jose Role description Data Scientist Python Machine Learning Associate II -

Data Engineering Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world. UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live. With us, you'll create a boundless impact that transforms your career—and the lives of people across the world. Visit us at UST.com.

You Are:

We are looking for a Data Scientist with solid experience in machine learning, deep learning, and advanced analytics. You will be responsible for developing and implementing statistical models and AI solutions that transform data into actionable business insights.

The opportunity:

Develop, implement, and maintain statistical models, machine learning algorithms, and analytical solutions to solve complex business problems. Conduct exploratory data analysis (EDA) to identify patterns, outliers, correlations, trends, and their impact on business metrics. Develop and integrate AI models and agents within applications, platforms, and operational workflows, collaborating with other teams to develop AI solutions. Design experiments, A/B tests, and analytical methodologies to evaluate business hypotheses, optimize processes, and measure impact. Collaborate with cross-functional teams (product, technology, operations, marketing, executives) to translate business needs into concrete analytical solutions. Create visualizations, dashboards, and reports that communicate insights clearly, actionably, and with a results-oriented approach. Document processes, assumptions, and results, ensuring the reproducibility and traceability of the models. Work with data engineers to ensure the availability, quality, and governance of the data used in the models. Implement and monitor advanced analytics and modeling pipelines, including Retraining, model versioning, and performance metric monitoring Research, evaluate, and apply new modeling techniques, algorithms, and analytical tools to increase the efficiency and accuracy of analytical products. This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. What you need :

Languages:

Python and/or R for data analysis and predictive modeling

Libraries:

Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Statsmodels Statistics:

Inferential statistics, probability, optimization, and time series analysis

AI/NLP:

NLP, LLM, or Neural Network (Deep Learning) models

MLOps/LLMOps:

Model lifecycle management

MLOps or LLMOps Databases:

SQL Advanced relational and non-relational databases

Data Engineering:

DataTransfer, Integration Services, Data Flow, DataBricks, and/or similar

Data Visualization:

Power BI, Tableau, Looker, matplotlib, seaborn, and/or similar

Cloud:

Google Cloud Platform, Azure, or

AWS CI/CD

GitHub continuous integration and deployment tools

Generative AI:

Experience with GitHub Copilot, Claude, Cursor Desirable Knowledge Experience with large volumes of structured, unstructured, and semi-structured data Knowledge of distributed data architectures (Spark, Databricks) Experience with forecasting and business planning models Familiarity with BI systems and executive reporting Knowledge of data governance and privacy frameworks

Soft Skills:

Ability to communicate technical concepts clearly and understandably to non-technical audiences Ability to work in cross-functional teams and dynamic environments Critical thinking, results-oriented Creativity and analytical curiosity Ability to manage multiple simultaneous projects, prioritizing according to impact Proactivity and ownership of analytical models and results

Required Experience:

Minimum of 3 years of experience as a Data Scientist or similar roles in advanced analytics and/or data mining University degree in statistics, mathematics, computer science, engineering, data science, or related fields Proven experience in the development, implementation, and maintenance of machine learning / deep learning / generative AI models Experience working in cross-functional agile teams

Languages:

Spanish:

Native or professional level

English:

B1-B2 reading technical documentation and communicating with international teams Benefits Employees receive eleven (11) paid holidays, two (2) weeks of paid vacation per year, and are eligible for health, dental, disability and life insurance.

What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. An Equal Opportunity Workplace, Free of Discrimination and Harassment At UST, we strive to provide a work environment free of discrimination and harassment. We are an equal opportunity employer and employment decisions are based on merit and business needs. Our Human Rights Policy further illustrates our stand on this. We are committed to following fair employment practices that provide equal opportunities to all employees. We do not discriminate or allow harassment on the basis of race, color, religion, disability, gender, national origin, sexual orientation, gender identity, gender expression, age, genetic information, military status, or any other legally protected status. At UST, we value diversity and believe that a diverse workplace builds a competitive advantage. Un lugar de trabajo con igualdad de oportunidades y libre de discriminación y acoso En UST, nos esforzamos por proporcionar un ambiente de trabajo libre de discriminación y acoso. Somos un empleador que ofrece igualdad de oportunidades y basa las decisiones de empleo en los méritos y las necesidades del negocio. Estamos comprometidos a seguir prácticas de empleo justas que brinden igualdad de oportunidades a todos los empleados. No discriminamos ni permitimos el acoso por motivos de raza, color, religión, discapacidad, género, origen nacional, orientación sexual, identidad de género, expresión de género, edad, información genética, estado militar o cualquier otro estado legalmente protegido. En UST, valoramos la diversidad y creemos que un lugar de trabajo diverso construye una ventaja competitiva. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. #UST #LI-YH1 Skills data engineering,data science,python,machine learning algorithms,artificial intelligence About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.