Role Description We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions. Qualifications - 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects. - Experience in training tabular and time-series models using classical machine learning and deep learning approaches. - Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools. - Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus). - Exceptional analytical skills with a detail-oriented and innovative approach to challenges. - Strong verbal and written communication skills to collaborate effectively within a team. Requirements - Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes. - Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring. - Familiarity with MLOps tools like MLflow or Feast. - Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake. - Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges. Responsibilities - Design, execute, and evaluate experiments to refine models and improve outcomes. - Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data. - Perform deep-dive data analysis and deliver actionable insights to shape our business strategies. - Work closely with cross-functional teams to align data science projects with company goals. - Keep up with the latest advancements in data science, cloud technologies, and DevOps. - Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems. Benefits - Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). - Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. - Enjoy a flexible, remote-first global environment. - Equity options. - Private health insurance. - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. - Spend 10% of your work time on personal projects or self-improvement. - Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. - Annual hackathon to spark new ideas and strengthen team bonds. - Team-building budget and company events to connect with your colleagues. - Equipment budget to ensure you have everything you need. - Extra days off to help maintain a healthy work-life balance.

• Develop new business and expand market presence in Data Center markets • Drive revenue growth through proactive customer engagement and opportunity development • Promote cross-brand solutions and build strong customer relationships • Gather and communicate market insights and competitive intelligence • Collaborate with Product Management, Marketing, and Inside Sales

• Oversee maintenance of data infrastructure and architecture for Oil, Gas, and Remediation projects • Drive data generation, storage, and processing initiatives while ensuring the implementation of effective data management solutions and best practices • Maintain databases and data processing systems • Ensure data is accessible, reliable, secure, and efficiently processed • Combine, optimize, and manage multiple large-scale data sources • Create automated reporting systems and data solutions • Provide software solutions that move data from its source to internal databases, including data warehouses • Responsible for maintenance of data pipelines to support data analysis and reporting • Analyze complex issues and recommend solutions that improve data storage processes and methodologies • Use judgment outside defined parameters and precedents to make decisions and resolve business and technical challenges • Accountable for the results of assigned projects and processes • Demonstrate strong proficiency in data programming languages • Demonstrate strong knowledge of data optimization tools, data structures, data architecture, and data warehousing solutions • Demonstrate strong knowledge of API integration to support data access, collection, distribution, transformation, and ELT processes • Apply algorithmic and statistical methods, data processing tools, and AI-enabled approaches to support efficient data consumption and analysis

Role Description Lead Data Scientists at Excella drive the development and implementation of advanced analytics solutions, ensuring alignment with business objectives and technical best practices. They provide strategic leadership in data science projects, mentor team members, and influence decision-making through data-driven insights. - Lead the design and execution of data science projects, ensuring high-impact analytics solutions. - Partner with client stakeholders to understand business challenges and develop data-driven strategies. - Oversee data acquisition and integration, ensuring data quality and reliability. - Apply and refine machine learning and predictive modeling techniques to solve complex business problems. - Guide the deployment and integration of predictive models into business applications. - Develop and implement strategies for optimizing model performance and monitoring over time. - Present findings and recommendations to executives, translating complex data concepts into actionable business strategies. - Mentor and support junior and senior team members in data science methodologies and best practices. - Influence data governance and best practices within the organization. Qualifications - 6+ years of experience in predictive analytics using tools like Python, R, or Scala. - 6+ years of experience writing complex SQL queries for data extraction and transformation. - Extensive experience applying machine learning techniques, including deep learning and NLP. - Expertise in working with large-scale data platforms, including Hadoop, Spark, and cloud-based solutions. - Strong background in leading data science teams and mentoring junior data scientists. - Proven ability to translate business problems into data science solutions. - Excellent communication skills for engaging with stakeholders at all levels, including executives. - Experience leading projects within Agile Scrum frameworks. - Strong strategic thinking, problem-solving skills, and ability to drive decision-making based on data insights. - Familiarity with DevOps Research and Assessment (DORA) and its application in analytics. - Continuous learning mindset with a passion for staying up to date on emerging data science technologies. Benefits - Top of industry medical, dental, and vision benefits with multiple options. - Employer-contributed health savings account, infertility coverage, and orthodontia. - 8 weeks of Parental Leave. - Discounted pet insurance. - Care.com membership with 3 back-up emergency child or elder care days annually. - 15 days of paid vacation, 6 federal holidays, and 4 floating holidays starting day one. - TechEleX program providing multiple options for technology needs, including Mac or PC devices. - Annual Internet Reimbursement benefit of $25 per month. - 3 days of paid professional development every year, including an allowance for registration fees. - Employee wellness events, HeadSpace membership, and access to TalkSpace and mental health coverage. Company Description Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. That’s why we’re committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella, you’re empowered to make lasting impact, turning today’s challenges into tomorrow’s mission successes. Workplace locations look different for everyone. Excellians are a distributed workforce and whether you're working from your home office or a client site, we support a flexible work/life integration regardless of your location.