Data Scientist

• Company Hays
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Required Qualifications:

• At least 3 years of broad experience in the domains of Advanced Data Analytics, Data Science, Machine Learning and AI in the Sales and Marketing domain.

• Knowledge and experience with best practices and frameworks utilized in the fields of Advanced Data Analytics and Data Mining.

• Ability to clearly understand business requirements and translate them into data-driven processes and solutions, as well as to consult business stakeholders on optimal solutions, and to manage expectations.

• Experience with designing analytical solutions, as well as storytelling and presentation of insights and outcomes to senior business stakeholders (Directors and/or Senior Managers).

• Experience in summarizing his / her own analytical processes and results in a PowerPoint, by using diagrams, charts, etc., and explaining them to people with limited knowledge of Data Science.

• Hands-on experience within the end-to-end Advanced Data Analytics process, from data extraction EDA, data preparation and preprocessing, to predictive model building, validation, and deployment.

• At least 3 years of strong, hands-on programing experience with Python as a Data Scientist, using libraries like NumPy, SciPy, Pandas, Matplotlib, SciKit-Learn, Seaborn, TensorFlow, Keras, PyTorch, as well as constructing classes, functions, and objects.

• Hands-on experience with modern Data and Analytics ecosystems, cloud environments and services, such as AWS (SageMaker, S3, Glue, Step Functions, etc.), Azure or GCP, as well as understanding of Big Data foundations.

• Ability to extract, design and link datasets from diverse internal and external data sources, by writing SQL queries as a part of the ETL process, and to prepare master datasets for modeling and analysis.

• Superior analytical maturity to provide business outcomes with proficiency in a broad range of marketing methodologies, quantitative approach, Advanced Data Analysis, and statistics.

• Strong interpersonal and communications skills.

• Ability to lead data-driven initiatives, which sometimes include changing existing systems, operations or mindsets of others, based on prioritization.

• Native-level of Japanese proficiency, and business-level or higher of English proficiency.

• 2 years of experience of actively communicating (e.g., through presentations, etc.) with business stakeholders in the Sales and Marketing / Commercial domain.

• Degree(s) in Computer Sciences, Statistics, Physics, Engineering, Mathematics, Economics, Public Health, (Pharmaco-)Epidemiology, Pharmacy.

Preferred Qualifications:

• Proactive, results-oriented, creative, and flexible thinker with a growth mindset.

• Enjoys working in diverse and inclusive global and matrix environment across functions and geographies.

• Ability and willingness to speak-up and to challenge the status quo.

• Upholds high standards of ethical and intellectual integrity.

• Experience or knowledge about the pharmaceutical commercial business and data sources (e.g., prescription and sales data, patient claims data, promotional data), and the ability to design future ideal state of Data Analytics in it.

• Experience in validating quality or reliability of data.

• 2 years of experience in the consulting business.

• 2 years of experience in writing distributed processing in PySpark for Big Data Analytics solutions (e.g., datasets with millions of rows and hundreds of columns).

• Mathematical knowledge that is used in Data Science (calculus, linear algebra, equivalent to Japan Statistical Society Certificate level 2).

• Experience in Natural Language Processing (e.g., morphological analysis using MeCab, managing projects using BERT with Japanese data).

• Experience in Deep Learning frameworks (e.g., TensorFlow, PyTorch).

• Experience in building recommendation engine models (e.g., collaborative filtering, cosine similarity, matrix factorization models).