senior Data ScientistAzendo Co.,Ltd.

Senior Data ScientistJob Overview: Our smart and ambitious team at Azendo is made up of individuals like you - driven professionals who thrive in an innovative environment and are motivated by impactful results. This is your opportunity to be part of a company that combines a proven business model with forward-thinking strategies, shaping the future of a rapidly growing industry.
By joining Azendo, you will secure a dynamic and highly visible role where your contributions will make a tangible difference. As a Data Scientist at Azendo, you will work in a multi-disciplinary environment, leveraging data to create real-world impact for organizations globally. Your insights and expertise will shape key recommendations that help our clients drive meaningful change and achieve long-term success.
Responsibilities:
Use Statistics, Advanced Analytics and Machine learning to derive key insights across various industry sectors including manufacturing, distribution, services and e-commerce.
Work alongside the Principal Data Scientist to develop world-class data science products for clients as well as for our data science team
Write code to advance our internal Data Science toolbox
Mentor Fellow Data Scientists and Data Scientists where required
Play an active role in leading team meetings and workshops with clients
Work on complex data sets from some of the world's largest organizations
Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design
Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods
Qualifications:
Experience in statistical modeling and machine learning techniques
Advanced programming experience in at least two of the following languages: Python, R, SQL
Experience in applying data science methods to business problems
Experience in applying advanced analytical and statistical methods in the commercial world
Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
Experience using statistical programming languages, machine learning and other toolkits and techniques for analyzing large, complex datasets
Technical proficiency with transforming structured and unstructured data sets
Strong analytical skills, attention to detail and accuracy
What We Offer:
A dynamic and international work environment in Chiang Mai or Bangkok
A culture that emphasizes professional growth, learning, and Danish values
Opportunities for career development and advancement
25 paid days off per year
6 days personal leave
Paid maternity leave
Free lunch at the office
Health Insurance and Social Security
Friday games
Awesome monthly social events
Game stations with table tennis, basketball, table football, and PlayStation
And most importantly, kind and awesome teammates
Working hours: Monday to Friday: 06:00pm - 02:00am (Bangkok Timezone)
Your new workplace:
We are a "humans first, resources after" company: We care about building relationships with our team members and strengthening partnerships with our clients based on trust. Putting humans first doesn't mean we don't care about results and performance - we do - just not at the expense of people.
We lead with "Frihed under Ansvar": which means "With great freedom comes great responsibility". Like a scale - the amount of freedom and responsibility must be equally balanced. Our leadership philosophy is true to our Scandinavian roots.
We play as a dream team: Just like a professional soccer team, each of our teammates has a very important role in our team's success. We will all work together to foster a good environment so our teammates can play their best with one another and get the opportunity to become the stars of tomorrow.
Challenging the status quo is in our DNA: With our partners in mind, we are motivated by the hunger to improve and innovate to forge the foundations for long-term success. We will seek out the best team members who will bring fresh perspectives and ideas, and challenge us to do better.