Data Scientist (Intern) (ADV.369)

  • Jakarta
  • Koltiva
About Koltiva Established in 2013, Koltiva is a leading agritech company for enterprises to make their global supply chains traceable, inclusive, and climate-smart, backed by our human-centered technology with boots-on-the-ground professional service. Koltiva supports some of the largest multinational companies by digitizing and verifying global supply chains, focusing on enhancing traceability, inclusiveness, and sustainability. Koltiva combines triple-tech (AgriTech, FinTech, and ClimaTech) to improve producers’ outcomes and profitability while building more sustainable supply chains. What’s it like working at Koltiva? At Koltiva, we embodied honest, open, and upfront communication. We always seek and continuously improve existing tech solutions while focusing on our business users. Here, delivering value and making an impact on our customers while insisting on great standards are what we are aiming for. Our Core Values – FARMER F: Focus on the users Think user backwards, consider market needs and requirements. Satisfy consumers through early and continuous delivery of valuable & quality product & services. All else will follow. A: Agility with Growth Mindset Continuous learning by consistently adaptive, effective and efficient. Develop useful ideas and innovation that are new, better, or unique. Introduces new ways of looking at problem. R: Real Results Having the motivation, enthusiasm and drive to meet and exceed targets. Ensure to deliver excellence value and achieve great results. M: Make an Impact Make better, do better, and be better for our consumers, employees, partners, and the world at large. E: Environmentally Responsible Support businesses to achieve resilient supply chain while not harming people and the environment. People, Planet, Prosperity. R: Recognize Others Recognize each of individual or team collaborative efforts that carried out with transparent and open communication. Our Purpose For People, Planet and Prosperity. We solve critical challenges in global supply chains, from increase producers’ livelihood, enhance environmental protection, to improve trade transparency. Our Vision To be the world’s leading tech company in building ethical, transparent, and sustainable supply chains. Our Mission We strive to grow a high-performance organization, digitizing agribusinesses and producers to the transition of sustainable production and traceable sourcing. Benefits and perks of working with Koltiva include: Compensation: Competitive salaries Family benefits: Paid maternity / paternity leave Lifestyle: Casual dress code, Flexible hours, Work-from-home Progression: Professional development Welfare: Health insurance Our team is growing. With offices in 6 cities across the globe and still counting. Where in the world will you join us? PT KOLTIVA RA Mampang Office, 6th floor Jl. Mampang Prapatan Raya No. 66 A - 66 B, Mampang Prapatan, South Jakarta, 12790, Indonesia PT KOLTIVA Miles Coworking Space Jl. Jambu, Losari, Ujung Pandang, Makassar, South Sulawesi, 90113, Indonesia PT KOLTIVA Jl. Bumi Ayu Gg. Pungut Sari No.6, Sanur, South Denpasar, Denpasar City, Bali 80228, Indonesia KOLTIVA AG Baselstrasse 8 4532 Feldbrunnen, Switzerland KOLTIVA SARL Arsène Usher Assouane 99, Riviera 3, Cocody, Abidjan, Côte d'Ivoire PT KOLTIVA Artech Space Jl. Sagan Kidul No. 14, Yogyakarta, 55223, Indonesia Koltiva Co. Ltd. 23rd Floor, A&B Tower, 76A Le Lai, Ben Thanh Ward, District 1, Ho Chi Minh City, Vietnam Who is the Koltiva Data Scientist (Intern)? The Data Scientist Intern is responsible for support Data Scientist team in selecting features, building, and optimizing classifiers using machine learning techniques. What are the key responsibilities of the Data Scientist (Intern)? The Specific responsibilities in this role include: Collaborate with cross functional teams to understand the requirements. Support in selecting features, building, and optimizing classifiers using machine learning techniques Support Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Support Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner What are the requirement of the Position? Bachelor’s degree or Diploma 3 Majoring in Information Technology or equivalent.Good programming skills in Python. Understanding of common data science toolkits, such as NumPy,Pandas, Scikit-Learn, TensorFlow or PyTorch.Good understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.Understand SQL to query and process data in the database include creating view, function, and stored procedure.Experience with data visualisationtools, such as Metabase, Matplotlib, Seaborn, etc.A solid foundation in Object-Oriented Programming (OOP) principles is a plus.Ability to prioritize and multitask. Flexibility and adaptability in work approach.Ability to perform effective interaction with a broad range of people and roles.