Junior Data Scientist

1w1 week ago

Emerson

San José, CR · Full-time · $30,000 – $50,000

About this role

Join Emerson as a Data Scientist and shape smarter, faster commercial decisions through advanced analytics, machine learning, and responsible AI. You’ll partner with data science, engineering, pricing, and business stakeholders to turn complex data into clear, explainable recommendations. This hands-on role puts your models and insights into real commercial workflows, delivering measurable impact across markets.

Support development of statistical, machine learning, and AI models to improve product development, pricing strategies, and customer experiences. Contribute to design and continuous improvement of rule-based and analytical decision support logic in pricing processes. Analyze historical and transactional data to calibrate recommendations and assess business impact.

Collaborate closely with cross-functional teams including data science, data engineering, pricing, and business partners to identify analytics opportunities. Partner with pricing, sales, and business stakeholders to translate commercial policies into analytically sound solutions. Communicate findings through documentation, presentations, and visualizations tailored to technical and non-technical audiences.

Work alongside a supportive, innovation-driven team that prioritizes a workplace where every employee is valued, respected, and empowered to grow. Foster an environment encouraging innovation, collaboration, and diverse perspectives. Benefit from ongoing career development through mentorship, training, and leadership opportunities in an inclusive culture.

Requirements

1–3 years of relevant experience (including internships, co-ops, or academic projects) applying statistics and Python to real-world datasets
Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field required; Master’s degree a plus
Fluency in English, both written and verbal
Hands-on knowledge of applied statistics and experimentation (e.g., hypothesis testing, confidence intervals, A/B testing)
Core machine learning concepts (e.g., classification, regression, model evaluation)
Proficiency in Python for data analysis (pandas, NumPy) and working knowledge of SQL for querying data

Responsibilities

Support the development and implementation of statistical, machine learning, and AI models to improve product development, pricing strategies, and customer experiences
Contribute to the design, refinement, and continuous improvement of rule-based and analytical decision support logic used in pricing and commercial processes
Stay abreast of relevant research and industry developments and help prototype and evaluate new data science and AI techniques, including responsible use of generative AI
Collaborate closely with cross-functional teams to identify opportunities where analytics and AI can deliver measurable value
Partner with pricing, sales, and business stakeholders to translate commercial policies, objectives, and constraints into analytically sound and explainable solutions
Analyze historical and transactional data to calibrate recommendations, validate outcomes, identify edge cases, and assess business impact across markets
Communicate findings, recommendations, and tradeoffs through clear documentation, presentations, and visualizations for technical and non-technical audiences
Follow established practices for data privacy, security, and responsible AI; proactively raise risks, assumptions, and questions

Benefits

Supportive, innovation-driven team environment
Prioritized workplace where every employee is valued, respected, and empowered to grow
Fosters innovation, collaboration, and diverse perspectives
Commitment to ongoing career development and inclusive culture
Mentorship, training, and leadership opportunities