Senior Data Scientist

Job not on LinkedIn

🕒 March 21

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Develop and implement advanced analytics focused on pricing and optimization • Build predictive models to identify patterns, trends, and business opportunities • Develop and evolve dynamic pricing models • Apply segmentation, clustering, and statistical modeling techniques • Work with price elasticity, churn, and retention models • Apply causal inference techniques to support business decisions • Use optimization methods (mathematical programming, heuristics, simulations) to define pricing and discounts • Design and analyze experiments (A/B testing) • Translate analyses and insights into actionable strategic recommendations • Collaborate with teams such as Marketing, Sales, Product, and Engineering • Ensure practical application of models within the business • Stay up to date with trends and advancements in data science, especially in the Azure ecosystem

🎯 Requirements

• Solid experience as a Data Scientist (senior level) • Strong proficiency in Python • Experience developing pricing and optimization models • Knowledge of: price elasticity • Churn and retention models • Causal models • Optimization techniques (mathematical programming, heuristics, simulations) • Experience with experimentation (A/B testing) • Ability to work hands-on and strategically • Experience translating data into business decisions

🏖️ Benefits

• Diversity and inclusion in hiring • Career opportunities at Keyrus