Machine Learning Product Manager in NewGMedia

As an ML Product Manager, you will drive your direction autonomously, make data-driven decisions, and witness your impact on the business.

Advantages of This Role for You:

— Dedicated Team: Manage a specialized ML team designed to achieve your goals.

— Autonomy: Make your own decisions, influence the product and processes. We are open to your ideas and trust your expertise.

— Prestige: Join a multi-award-winning Gambling Company, contributing to a journey that has established 9 top iGaming brands in the markets of Tier-1 countries.

Key Responsibilities:

Identify and Prioritize Application Fields:

— Collaborate with cross-functional teams to understand business needs and challenges.

— Conduct market research to identify potential application fields for machine learning solutions.

— Prioritize areas where machine learning can enhance operational efficiency and deliver tangible business impact.

Selection of Appropriate Approaches and Solutions:

— Evaluate and recommend machine learning algorithms and techniques suitable for specific use cases.

— Work closely with data scientists and engineers to design and develop scalable machine learning solutions.

— Ensure alignment between business goals and technical capabilities of chosen approaches.

Creation and Launch of Solutions:

— Lead the end-to-end development lifecycle of machine learning solutions, from concept to deployment.

— Collaborate with software development teams to integrate machine learning models into operational systems.

— Define and track key performance indicators to measure the success of implemented solutions.

Cooperation with Data Warehouse and BI Teams:

— Collaborate with the Data Warehouse team to ensure the availability of high-quality and relevant datasets for training and testing machine learning models.

— Work closely with the Business Intelligence team to derive actionable insights from machine learning results.

— Identify opportunities for data warehouse improvements to enhance overall data management capabilities.

Stakeholder Communication and Collaboration:

— Communicate effectively with stakeholders, including operational teams, executives, and technical teams, to ensure a shared understanding of project goals and progress.

— Foster a collaborative environment and build strong relationships with cross-functional teams.

— Act as a bridge between technical and non-technical stakeholders, translating business requirements into technical specifications.

Skills & Qualifications Required:

— Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.

— Proven experience (3 years) in product management, with a focus on machine learning solutions.

— Strong understanding of machine learning concepts, algorithms, and practical applications.

— Experience working in a cross-functional environment with operational teams.

— Experience building a Data Warehouse or Data Lake will be a plus.

— Excellent communication and leadership skills.

— Ability to thrive in a dynamic and fast-paced work environment.

Your Hiring Journey:

Call with a Recruiter ➡️ Interview with CPO and Delivery Director ➡️ Final Interview with Head of Recruitment ➡️ Job offer 🥳

Perks of Being with Us:

— Time Off: 20 vacation days, 36 sick days annually.

— Learning: English classes, learning compensation, conference and seminar support.

— Professional Growth: Emphasis on internal promotions for career advancement.

— Health Benefits: Annual budget for health expenses.

— Special Occasions: Extra day off for birthdays, marriage bonus, enhanced maternity support.

— Work Environment: Minimal bureaucracy, no overtime, necessary tools and tech provided.

— Corporate Events: Team-building activities in a multicultural setting.

— Work-Life Balance: Flexible remote, office, or hybrid work options without time tracking.

Ready to craft the future of iGaming with us? Join the company where ideas transform into magnificent results!