Marketing Data Scientist - Nutrition Division

Key Skills

Analytical and Problem solving, Apache Hadoop, C++, Data Analysis, Data Mining, JavaScript, Python Programming, R Programming, Scala Programming, SQL, Tableau

Job Description

MAIN PURPOSE OF ROLE

A Data Scientist is a proficient specialist who applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights. They design tailor-made solutions from this data, aiding organizations in achieving their unique objectives and goals.

Data Scientist responsibilities include:

• Undertaking data collection, preprocessing and analysis
• Building models to address business problems.
• Presenting information using data visualization techniques

This role requires one to be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

MAIN RESPONSIBILITIES

Undertaking data collection, preprocessing and analysis

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends

Building models to address business problems

• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling

Presenting information using data visualization techniques

• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

MINIMUM BACKGROUND/ EXPERIENCE REQUIRED

Work Experience : Minimum 6 years

• Proven experience as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills

Education Level

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

CORE Skills Required

• Organization and planning skills
• Analytical thinking
• Reporting skills
• Interpersonal skills
• Problem solving skills.
• Time management
• Good command of English