AI/ML and Data Science Engineering Manager

January 22

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Logo of OREDATA

OREDATA

Big Data • Analytics • Business Intelligence • Artificial Intelligence • Cloud

Description

• OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of expertise • Work with experts tackling digital, operational, analytical & data science challenges • Lead the AI/ML & Data Science team by setting performance standards • Engage with clients to understand their business needs and align project objectives • Foster the company’s culture within the team, ensuring a harmonious work environment • Ensure project execution is on schedule and meets high-quality standards

Requirements

• Bachelor or Master’s degree in Computer Science, Statistics, or related field • 9 to 15 years of relevant experience with a proven track record of leading data-driven projects that encompass areas such as GenAI, ML, churn prediction, customer segmentation, forecasting and strategic initiatives. • Strong proficiency in analytical tools and programming languages such as Python and SQL, and familiarity with machine learning frameworks and statistical modeling techniques is essential. • Demonstrated ability to manage and mentor a team of Data Scientists and AI/ML Engineers. Experience on performance management, task delegation and professional development of team members. • Exceptional communication and interpersonal skills, capable of presenting complex insights clearly and effectively to stakeholders at all levels, including non-technical audiences. • Strong analytical and problem-solving skills with the capacity to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. • Ability to foster and maintain a positive team environment that encourages collaboration and innovation. Commitment to supporting and promoting the company’s culture. • Proficient in Python, SQL and Google Cloud or AWS or Azure cloud technologies • Fluent in English • Experience on consultative environment

Benefits

• Remote working and flexible time off • Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc) • Access to Online Training Platforms (Udemy, Praktika ,Pluralsight, A Cloud Guru, Coursera, etc.) • Opportunity to work on international projects • Private Health Insurance • Birthday Leave Policy • Dynamic work ecosystem where you can take initiative and responsibility • Open communication, flexibility and start-up spirit • Learning & Development opportunities for both personal and professional growth

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