Lead Data Scientist

ABOUT THE COMPANY

LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.

ABOUT THE CLIENT

Globally recognized leader in high-performance engineering, specializing in advanced propulsion and power systems for the aerospace, defense, and energy sectors. With a strong focus on innovation and precision, the company develops complex technologies that enhance efficiency, reliability, and sustainability. Their expertise in digital transformation and data-driven solutions ensures continuous improvement in performance and operational excellence, supporting critical industries worldwide.

ABOUT THE ROLE

The Lead Data Scientist is a pivotal role responsible for driving data-driven decision-making across the organization. In this position, you will develop and implement advanced analytics models and machine learning solutions to extract valuable insights from complex data sets. You will work closely with cross-functional teams to identify business needs and design strategies that enhance organizational performance. As the leader of the data science team, you will also mentor junior data scientists and promote best practices for model development and deployment.

RESPONSIBILITIES

• Oversee the entire data science lifecycle, from data collection and preprocessing to model development, testing, and deployment.

• Develop and implement advanced machine learning models to provide actionable insights and drive business outcomes.

• Collaborate with cross-functional teams (e.g., engineering, business) to identify business needs and design data-driven strategies.

• Mentor junior data scientists, providing guidance on best practices and supporting their professional development.

• Communicate findings to stakeholders, translating complex data insights into clear recommendations that align with business objectives.

• Implement and oversee model deployment, ensuring scalable and efficient deployment practices using tools like AWS SageMaker.

• Drive innovation by staying up-to-date with the latest data science and machine learning trends, tools, and methodologies.

REQUIREMENTS

• Expertise in machine learning algorithms and methodologies (e.g., supervised, unsupervised learning, deep learning).

• Proficiency in programming languages such as Python and R.

• Strong background in statistics and data analytics for model development and evaluation.

• Experience with data manipulation libraries (e.g., Pandas, NumPy) for data wrangling and analysis.

• Knowledge of model deployment practices, including using platforms like AWS SageMaker.

• Effective communication skills for engaging stakeholders and presenting complex data findings in an accessible way.
  

WHAT WE OFFER

• Learning opportunities with compensated certificates, learning lunches, and language lessons.

• Opportunity to switch projects after one year.

• Team building and victory celebration compensation every quarter.

• Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.

• Remote work opportunities.

• Flexible time off depending on the project.

• Seasonal activities with colleagues.

• Health insurance for Lithuanian residents.

• Referral bonuses.

• Loyalty days.

• Recognition of important occasions in your life.