Data Scientist

ERNI is a fast-growing Software Development company headquartered and founded in Switzerland in 1994, with more than 800 employees. We are highly specialized in IT & software engineering to enable and deliver innovation in process and technology. Our first service center in Asia Pacific is in Metro Manila (Mandaluyong) from where we provide our service to Europe, APAC incl. our local market Philippines, and USA regions. We are now geared towards expansion and are looking for highly motivated joiners.

WHY ERNI is the best place to call HOME? 🏡

🤩 At ERNI, this is how we can support you; ALL company PERKS AND BENEFITS take effect UPON HIRING!

• Contract: there is always a project and opportunity for you.
• Personal Development and Travel Opportunities outside the Philippines.
• Baby Basket – to welcome your newborn to the ERNI family.
• Fruit Basket – boost of vitamins during hospitalization.
• Free snacks and coffee in the office

🔐 UNLOCKING NEW DOORS OF GROWTH & OPPORTUNITIES

• Free Training with Certifications: Grow with us through technical and non-technical training.

• Challenging Projects: ERNI is dedicated to developing high-quality software in complex technical environments such as MedTech, Industry, Finance, and Transportation. Have the chance to participate in various technically challenging projects amongst passionate and skilled colleagues.

• Employee Welfare: You will be guided by a group of people who will guide and support you to have the right tools and mindset.

• Promotions & Recognition: From the very first day, we offer you a way to learn and develop yourself in our company. Your colleagues and superiors consistently recognize and appreciate all efforts, making you feel satisfied with your achievements.

• Communication: You will find transparency, honesty, and open communication in our working culture. we value suggestions, opinions, and feedback from all employees.

⏱ FLEXIBILITY

• Hybrid Set-Up: We are combining both remote work and in-person work. The hybrid setup will allow you to reduce commuting time and have a more flexible work schedule. This will help you to manage better your work-life balance.

🎉 EVENTS:

• We provide many opportunities to connect and build relationships. We are learning, growing, and celebrating achievements together. You will experience a wide range of different exciting activities. What to expect? Leisure Events, Summer Events, Family Events, Social Events, and Year-End Events.

👋 What are our wishes?

• Graduate of a Bachelor of Science in Data Science, Statistics, Information Technology, Engineering, or other related fields. Advanced degrees or certifications in machine learning or AI are an advantage.
• At least five (5) years of experience in data science or related roles.
• Experience in machine learning, statistical modeling, and Generative AI.
• Proficiency in Python, R, SQL, and data visualization tools like Power BI.
• Experience in building and maintaining data pipelines.
• Familiarity with cloud platforms such as Azure or AWS.
• Strong analytical and problem-solving skills.
• Excellent communication and storytelling skills.
• Experience working in Agile teams and with cross-functional stakeholders.
• Ability to work with senior executives from diverse cultures
• Excellent oral and written communication skills in English.

💼 How can you contribute to the team?

About the Role:

The Senior Data Scientist will be responsible for designing and implementing advanced analytics solutions, including machine learning models and Generative AI applications. The role also includes data engineering tasks, such as building data pipelines, and data visualization responsibilities using tools like Power BI. The candidate will work closely with cross-functional teams to deliver actionable insights and support data-driven decision-making across the organization.

Scope of Work/Responsibilities

• Design and develop machine learning models and Generative AI applications. 
• Perform data analysis and statistical modeling to extract insights.
• Build and maintain scalable data pipelines and ETL processes.
• Create interactive dashboards and reports using Power BI.
• Collaborate with stakeholders to understand data requirements.
• Ensure data quality and integrity through validation and quality checks.
• Stay updated with the latest trends in data science and visualization.
• Perform other relevant tasks as assigned.