Job Description
As a Data Scientist, you will work with highly complex structured and unstructured datasets. Yes, we are talking terabytes. You will build Statistical, Machine
Learning, and/or Deep Learning models to create solutions, improve operation, understand & interpret the data and be a building member of our SNS platform Yay!.
Responsibilities
- Collaborate with the product and engineering teams to define and design the recommendation engine's architecture and algorithms
- Analyze user data to understand user behavior and preferences, enabling the development of personalized content recommendations
- Utilize statistical and machine learning techniques to analyze large datasets and derive actionable insights
- Conduct A/B testing to evaluate the effectiveness of recommendation algorithms and continuously refine the models
- Develop and implement machine learning models for content recommendation, personalized user experiences, and targeted content delivery
- Evaluate model performance and make data-driven adjustments to improve accuracy and relevance
- Prepare and preprocess raw data to ensure its suitability for analysis and modeling purposes
- Identify and address data quality issues to maintain the integrity of the recommendation engine
- Take a proactive approach in working closely with cross-functional teams, including (but not limited to) product managers, engineers, and designers, to align on data requirements and deliverables
- Communicate findings and insights effectively to technical and non-technical stakeholders
- Stay abreast of industry trends and advancements to propose innovative approaches and solutions
- Build state-of-the-art Deep Learning models to tackle Computer Vision and NLP problems
- Communicate with the stakeholders to understand the business problem, solve the problem using data, and effectively present the insights/results
Qualifications
- 3+ years experience in data science: data visualization, regression, clustering and classification
- Fluent in Python (Numpy, Pandas, Scikit-Learn)
- Experience working with Machine Learning (Decision Trees, SVMs, Logistic Regression, PCA, Kernel Methods, LDA, QDA)
- At least 1 year working with Deep Learning. Being fluent in at least one DL framework (e.g. Tensorflow, Theano, Keras, MxNet, PyTorch, CNTK)
- Experience with data analytics
- Experience working with big data is a plus
- Experience with parallel/distributed/cloud computing is a plus
- Experience training Deep Learning models on multiple GPUs is a plus
- Experience with generative AI is a plus
- Knowledge on (Deep) Reinforcement Learning is a plus
- Experience with unsupervised and generative models are a big plus (e.g. Autoencoders and GANs)
- Experience with multi-task learning is a big plus
- Proficiency in SQL and MongoDB
- Can self-manage a project from start to finish and be proactive to propose projects that can provide fruitful insights
- B.S./M.S./PhD in mathematics, statistics, data science, computer science, electrical engineering, or related experience
Language
- Native Japanese or N1 level that lived in Japan for more than 1 year
- Business Level English
About the Company
At nanameue, Inc our focus is to connect people through social media. nanameue, Inc started in May of 2013 with roots in Japan and Thailand. With growing teams, nanameue, Inc. has built one of Japan’s top chat applications with over 6.5 Million users with 75,000+ communities.
We build our teams with a variety of different cultures from Japan, Thailand, England, Brazil, Australia to name a few. To maintain our global culture, our company language is English and we continue to welcome new members from all over the world.
Our goal is to build a virtual space where everyone can have their presence as themselves and welcome to forgive and accept everyone as they are.
Benefits
- Competitive salary and performance based bonus plus standard social security insurance
- Hybrid Work Environment
- Flextime: Core time 11:00 to 15:00
- For overseas candidates: Visa Support, Re-location assistance to help you start your life in Tokyo, including first-time airfare to Tokyo, and hotel room while we help you search for housing.
- Holidays: Annual leave, Summer as well as Winter Holidays, Childcare and Family care leave
- Support in buying the needed items to make your work easier: applications, large monitor even a good chair (unfortunately, pajamas not included)
- Transportation allowance OR if you live near the office, we will give you 20,000 JPY monthly towards your rent
- We will subsidize books, language courses, conference tickets, and even paid apps