Chief Analytics Officer

beBeeDataScientist; Guadalajara; Presencial; USD 40,000 - 100,000; Jornada completa

Descripción de la vacante

A global digital services company is seeking a Data Scientist to develop and implement data-intensive solutions for enterprise environments. This role requires strong analytical skills, expertise in machine learning techniques, and the ability to translate academic research into practical applications. The company promotes a culture of diversity and offers opportunities for professional growth.

Formación

• 4+ years experience post-MS or 4+ years post-PhD in Data Science.
• Strong background in Time Series Forecasting with practical application experience.
• Ability to interpret and apply academic research.

Conocimientos

Time Series Forecasting

Machine Learning

Statistical Modeling

Collaboration

Educación

MS in Computer Science, Applied Mathematics, Machine Learning

PhD (preferred)

Herramientas

Python

TensorFlow

PyTorch

Scikit-learn

Descripción del empleo

Data Scientist

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This is a unique opportunity to work in a global digital services company that helps mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services.

We thrive in solving our customers' challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). Our team is working on data-intensive solutions for demanding enterprise environments — your ability to interpret academic research and apply it to real-world use cases will be key to your success.

Must-Have Qualifications:

• MS (required) or PhD (preferred) in Computer Science, Applied Mathematics, Machine Learning, or a related technical field with a research focus.
• 4+ years (post-PhD) or 6+ years (post-MS) of relevant experience in Data Science or Research roles.
• A strong background in Time Series Forecasting, including modeling, evaluation, and deployment in production systems.
• Demonstrated ability to read and apply academic research — you're comfortable interpreting papers and turning them into working models or prototypes.
• A solid foundation in Machine Learning and Statistical Modeling techniques (e.g., ARIMA, Prophet, LSTMs, transformers for time series, etc.).
• Hands-on experience with tools such as Python, TensorFlow, PyTorch, Scikit-learn, and statistical libraries.
• Ability to collaborate closely with engineering teams and communicate complex ideas effectively.

We prioritize a culture of diversity and development for our nearly 2000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation and community are central to our work. We offer opportunities to create personalized career paths and develop in-demand skills, ensuring our employees grow and reach their goals.