Data Scientist - Remote Job

We are searching for a Senior Data Scientist to join our team of top-tier specialists, responsible for applying their expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation analytics engines and services.

If you want to:

• Take part in developing and implementing complex smart data solutions.

• Work on bleeding-edge projects with a chance to see your visions come to life.

• Collaborate with world-class IT professionals.

• Work on projects addressing real business challenges in a global and diverse team.

• Have real impact on the projects and environment you work in.

• Propose innovative solutions and initiatives.

Moreover, if you like:

• Flexible working hours and a casual, non-corporate environment.

• Access to benefits such as private medical care

• Remote work options as much as you prefer.

• A relaxed atmosphere at work where your passion and commitment are appreciated.

• Vast opportunities for self-development through online courses, certifications, and global knowledge-sharing.

Then this role is certainly a good match!

Your Responsibilities:

Understanding business problems and designing smart data products.

Developing complex models and algorithms to drive innovation within the organization.

Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance.

Collaborating with data engineers to implement and deploy scalable solutions.

Working closely with business teams to clarify ambiguous projects into concrete requirements.

We Expect:

BTech/MS/MTech in Computer Science, Statistics, Mathematics, Artificial Intelligence, Physics, or a related technical discipline.

At least 5 years of experience in a statistical and/or data science role.

Expertise in Python (experience with languages like R, MATLAB, Scala is a plus).

2+ years of hands-on Python ML Production experience (not just POC), with proficiency in deploying models to real-world systems.

3+ years of professional experience as a Data Scientist, with a focus on applying machine learning models to business problems.

Strong software engineering skills, including unit testing, object-oriented programming, and familiarity with best practices in programming.

Familiarity with Azure Machine Learning and building cloud-based ML solutions.

Experience in Bayesian modelling and the application of probabilistic models.

Experience with version control systems (e.g., Git)

Proven ability to deploy models to production and plan products, considering the broader technical landscape.

Team player with the ability to work autonomously on complex projects.

Why Join Heineken:

Be part of a globally recognized brand with a commitment to innovation and sustainability.

Collaborate with a diverse and multicultural team.

Drive business growth through data-driven insights and optimization.

If you're a Data Scientist passionate about production-level machine learning, time series analysis, Bayesian modelling, and working in a dynamic, multicultural environment, we invite you to join the Heineken team and be part of our journey to create unforgettable moments through great beer and data-driven insights.