Data Scientist

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

Job Description :

Main Responsibilities

• Oversee data acquisition, developing data set processes. data integrity, quality and consistency throughout the data sources
• Lead the development of data analytics solutions and pipeline development (data structures / reporting and processes) in collaboration with Data Science team commiserate with business needs
• Responsible for deep dive/investigating the data from multiple sources with an exploratory mindset to uncover relationships and insights relevant to the business
• Develop new data stores with team members; use programming language and tools to transform, combine, and clean data in preparation for analysis; document data definitions and issues for future reference
• Facilitate sharing of insights and intelligence in a manner that is easy to understand (for non-technical audience) and recommend specific action
• Support establishing and documenting modeling standards and processes, including: identify and define problem, and design approach; prepare, explore, transform, and select data; build, validate, and deploy analytic solutions/models; and monitor and evaluate results
• Leverage and implement advanced analytics solutions (incl. machine learning/AI) to drive solutions to help drive better, faster business decision making
• Handle complex structured and unstructured data sets from internal and external sources
• Collaborate with Marketing, Innovation, product design and customer teams in data management and extraction of insights
• Drive data quality, availability, analytics capability throughout the company. Take ownership of quality, accuracy and usability of data and reporting structure/dashboards
   

Qualifications

• Bachelor’s and/or Master’s degree in statistics, computer science, engineering, math, econometrics, or other quantitative decision sciences
• 3+ years of practical experience in data analysis and inference – preferably in FMCG industry and/or experience with full lifecycle data science projects
• Demonstrated ability to translate data analysis to information, insights and link to application/business
• Experience working with relational databases (SQL) as well as non-relational databases (NoSQL); must have Microsoft SQL proficiency
• Experience with analytics software tools or languages (R, Python, SPSS, etc.) and machine learning techniques.
• Working knowledge on development and scaling analytic solutions (incl. in the cloud)
• Working knowledge in visualization platforms and customization (Power BI, Tableau etc)
• Highly analytical with a strong grasp of modern statistical methods and advanced techniques such as machine learning/AI
• Strong interpersonal skills, written / verbal communication skills
• Strong cross-functional team skills to work with market experts, consumer research, commercial and other colleagues with varied backgrounds to support translation and addressing of business needs to analytical solutions
• Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users and other diverse audiences
• Nice-to-have:
  • Experience with Power BI or similar reporting tools is a plus
  • Experience with Azure cloud services and tools: SSIS/ Azure Data Factory, Analysis Services, Azure Data Catalog, etc.
  • Experience Working with flat files and APIs from third party vendors