Role Description As Lumen continues this journey, Corporate Finance is playing a critical role in shaping the future through data and AI. We are seeking a Senior Data Scientist who is excited by the opportunity to turn information into impact. In this role, you’ll leverage Databricks, Generative AI, and advanced analytics to create scalable solutions that empower smarter decision-making. You’ll help expand self-service insights, automate finance processes, and uncover opportunities hidden within complex datasets. More than building models, you’ll help write the next chapter of Lumen’s transformation—where data becomes a strategic advantage and innovation drives meaningful business outcomes. This is a work from home position from within the US. Main Responsibilities - Build and enhance Databricks-based AI and analytics solutions that improve how Finance teams access and use insights. - Develop scalable data pipelines, workflows, and reporting solutions using Databricks, Data Factory, SQL, Python, and Power BI. - Apply statistical, forecasting, and machine learning techniques to solve business problems and strengthen decision support. - Automate manual processes, improve data quality, and strengthen the performance and reliability of analytics applications. - Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions and actionable insights. - Contribute to high-impact initiatives that advance how data and AI are used across Finance. Qualifications - 3–5 years of experience in data science, data engineering, analytics, or a related role - Strong Python and SQL skills - Experience with Databricks, PySpark, or Spark-based processing - Experience building data pipelines and working with large, complex datasets - Strong analytical, problem-solving, and communication skills Preferred Qualifications - Experience with forecasting, predictive modeling, statistical analysis, or machine learning techniques - Experience with Generative AI or LLM-based applications - Experience with Power BI or similar visualization tools - Exposure to financial data, FP&A, or enterprise reporting Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. - $84,629 - $112,838 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, WY - $88,860 - $118,480 in these states: CO, HI, MI, MN, NC, NH, NV, OR, RI - $93,092 - $124,122 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, WA Benefits - Comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.

Role Description At QuintoAndar Group, we are committed to promoting gender diversity across our teams. We want to see more women in strategic positions within our technical teams, and we believe we can achieve this through intentional opportunities and actions. This is part of a larger plan to strengthen an equitable culture across multiple aspects. In our Data Science team, you'll have the chance to work as a part of our product squads delivering features that enrich our product and a first-class experience that we are known for. You'll work alongside brilliant minds, with different skills: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, etc. Be prepared for the job of your life - hard challenges, high expectations, intelligent life at work, meaningful conversations, outstanding productivity. Some of the specific problems we work in the Data Science team include: - Search and recommendation systems - Customer experience enhancement using ML such as in automatic routing of tickets - Pricing, liquidity and credit models - Building a platform that enables us to develop and deploy all those solutions Note: This is a senior position. We expect you to have at least 3+ years of experience applying data science and creating machine learning models. If you have the skills, but are starting your journey in Data Science, please apply to the Data Scientist job instead. Qualifications - Expert knowledge of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc. - Good understanding of the engineering challenges to deploy machine learning systems to production - Proficiency in Python - Some knowledge or experience with Deep Learning - Experience with technical advice for other data scientists (technical leadership) - Excellent written and verbal technical communication skills - Good English skills (verbal and written) is mandatory Requirements - People that are seeking to learn and deliver real impact through Data Science - Have a MSc. (or Undergrad + intense experience) in machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing or other relevant fields - Have experience with applied generative AI: AI agents, prompt engineering, LLMs finetuning (lora, qlora, peft), LLM routing, LLM monitoring, LLM guardrails - Have experience working at fast-growing startups Benefits - Competitive salary - Profit sharing - Meal allowance - Health insurance - Dental plan - Life insurance - Childcare subsidy and Atypical Parenthood subsidy - Wellhub - Home office allowance - Employee assistance program (mental health, social, legal, and financial support) - Extended parental leave - Day off on birthday, Mother’s Day, and Father’s Day - Benefits Club (discounts on everyday services) - Discounts at educational institutions - Reading kit for children – PlayKids

• Contribute directly to the technical execution of the data team’s deliverables • Refine and prioritize the data roadmap • Align metrics and definitions with domain owners across the business • Act as the technical interface between the data team and Engineering • Continuously reevaluate the stack, architecture, and use of AI • Ensure data governance • Lead team management (performance reviews, hiring, promotions) • Provide leadership visibility into objectives, KPIs, and deliverables

Role Description Tiger Analytics is looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team. - Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming. - Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG. - Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization. - Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies. - Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement. - Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization. - Collaborate, coach, and learn with a growing team of experienced Data Scientists. Qualifications - Proven experience 6+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation. - MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field. - Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications. - Experience with MLflow and model lifecycle management. - Experience building end-to-end ML pipelines in production. - Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts. - Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries. - Ability to apply various analytical models to business use cases. - Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Company Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. - Market leaders in AI and analytics consulting in the CPG & retail industry. - Over 40% of revenues coming from the CPG & retail sector. - Fastest-growing sector with a focus on beefing up talent.