Data scientist

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

Job Description :

Objectives of the Position

• Leverage data analytics and data management expertise, to drive further digital transformation of BASF Agricultural Solutions Asia team
• Scale commercial advanced analytics into a fully integrated scalable data science solutions deployed in the analytics platform across Asia
• The role will be an integral part of “analytics squad” to review data model iteratively, deploy new analytics, scope new data model development effort and highlight risks / issues whenever relevant

Main Tasks

• Provide data analytics consulting, guidance & know-how, to democratize the use of data & insight across internal team with end-to-end analytics solutions
• Implement end-to-end data management process (e.g. data cataloguing, data dictionary definition) and ways of working with data via interdisciplinary teams, be a role model for data stewardship
• Work closely with country business operations to understand the insight requirements, and contribute best practices as part of AP data scientist community
• Work closely with regional analytics product owner and country business operations to prioritize algorithms development product backlog based on capacity for code repository contribution
• Represent the regional Asia team in various sync-up meetings where data scientist representation is needed
• Work closely with central data scientists and machine learning engineers and is accountable for regional (including country) code quality / standards
• Updates / enhances deployed models to address changing requirements and data issues
• Develop, review and deploy data analytics models iteratively in commonly used programming languages (like Python, R, etc) & data packages
• Work with data engineering team to derive solution for new analytics deployment and scope development effort
• Monitors / logs and identifies risks proactively relating to data models
• Advise regional analytics product owner on risks / issues relating to data science efforts

Requirements

Education

• Bachelor Degree in Computer Science / Statistics / Business Technology related disciplie
• Preferred MS / PhD in Computer Science / Statistics or related discipline

Working Experience

• Min. 5-10 years professional experience in data analytics / business intelligence projects, driving data-related projects & initiatives e.g. experienced in developing production-grade analytics and scaling up existing data models

Technical & Professional Knowledge (Mandatory)

• Highly proficient in data science, machine learning methodology and concepts and tools
• Highly proficient in modular enterprise & data architecture design spanning multiple platforms, scale data models for platform implementation, and enterprise data management practices (technical security, data governance and compliance practices)
• Highly proficient in data analytics programming (for e.g. Python (a must), Pandas, R, Databricks, Spark, Jupyter notebooks) to develop, maintain, monitors data analytics models and data packages and manage their risk across through model life cycle
• Highly proficient in data processing technologies, provisioning data services using Microsoft data management-related products, Azure cloud infrastructure (Excel, Power Query, Power BI, Synapse, DataBricks, Purview, SQL, etc) and Azure Data Factory (2nd gen onwards)
• Highly proficient in managing large data sources / models and big data (internal & external data sources), database development, data mining and segmentation techniques, experienced in developing a production grade analytics
• Proficient in data visualization (e.g. Tableau, PowerBI, etc)
• Preferred experience in agile & scrum methodology, has done either a ‘product owner’ or ‘developer’ role before
• Preferred experience in strong working experience in MNCs setup, with cross-collaboration between multi-disciplinary teams virtually across multiple time zones
• Preferred experience in the agriculture / agronomics industry (i.e. sales operations, digital farming with drones, precision farming, agronomics data platform) or, other B2C business
• Familiar in full stack development (e.g. HTML, CSS, JavaScript, Python), use of serverless technologies, containers, automated deployment tools, code repository / testing tools like GitHub or Microsoft DevOps Toolset
• Additionally preferred: Cloud certification e.g. Azure cloud components, Agile / Scrum certifications

Soft-Skill Required

• Digitally-savvy, innovative, highly passionate on new technology offerings, highly perceptive of what’s new in the technology space and its relevance to bring business value
• Strong analytical skill to steer engineering requirements and can drive high code standards
• Proven communication, change management skill in matrixed and virtual teams
• Enthusiastic, confident, entrepreneurial with sound business judgement within the given broad guidelines
• Demonstrate a continuous learning, continuous improvement mindset
• Strong communicator
• Demonstrate a high discipline to complete tasks within project team timelines