Data Scientist

DigiGamma; Haarlem; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Remote work 1 day/week

International team

Learning budget

Challenging projects

Free English classes and IT certs

Free coffee/tea/fruits

Job summary

DigiGamma is seeking a Data Scientist to analyze consumer behavior and e-commerce performance from Haarlem-based data. You will craft insights and reports defining key metrics, trends, and opportunities.

The role involves building analytics data pipelines with SQL and Python, designing dashboards, and collaborating on data capture strategies to support advanced analyses. Based in our Haarlem office, full-time.

Qualifications

• MS or PhD in quantitative fields.
• 3+ years analytics experience in e-commerce or digital analytics.
• Experience querying and manipulating large datasets.

Responsibilities

• Analyze e-commerce KPIs and trends to inform business decisions.
• Create dashboards and reports on website and sales performance.
• Collaborate with internal teams on data capture and analytics frameworks.

Skills

Analyze e-commerce metrics

Competitive trending

Data-driven insights

A/B/multivariate testing

ETL with SQL and Python

Forecasting and modeling

Stakeholder communication

Education

MS/PhD in Statistics/Math/Economics/Engineering

Tools

SQL

Python

Job description

DigiGamma is looking for a talented, enthusiastic and dedicated person to as our next Data Scientist to support analysis and insights on consumer behavior by way of analyzing key e-commerce performance metrics and competitive trending. We are looking for a slightly impatient individual willing to face down their fear of failure to accomplish bold things. This is a full-time position based in our Haarlem office.

Key Qualifications

• Analyze e-commerce key performance metrics and competitive trending
• Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on consumer behavior
• Design and development of website, sales, and operational health reports/dashboards
• Automate analyses and build analytics data pipelines via SQL and python based ETL framework
• Perform ad hoc and in-depth analyses and then reporting/presenting insights
• Design, administer, and analyze the results of A/B and multivariate tests for micro and macro conversion optimization
• Creating forecasts using operational and statistical tools and models
• Collaborate with internal teams on defining population segments to support personalized consumer experiences

Description

Description

DigiGamma brings together world-class experts to develop groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to deliver products at scale. In particular, seemingly products that define new categories that advance DigiGamma’s mission of connecting the world. The DigiGamma team will operate on aggressive, fixed timelines, with extensive use of partnerships in, small and large businesses. The Product Launch Team has the responsibility for taking breakthroughs and delivering them to market at scale.

Qualifications

• MS or PhD Degree in Statistics, Mathematics, Economics, Business, Engineering, Sociology or other quantitative fields
• 3+ years analytics experience in e-commerce, web analytics, digital marketing, operations research, and business consulting
• Experience in querying and manipulating data-sets for analysis

Skills

• You’ll need to have:
• Strong organizational, problem solving, and analytical skills are a must;
• Able to communicate complex concepts to non-technical stakeholders;
• Self-motivated individual who takes ownership and able to work with a minimal supervision;
• Creativity and ability to innovate with ideas and concepts;
• Comfortable in a fast-paced environment.

What we offer:

• Remote work once a week
• Positive spirit within a top on the line international team
• Share the glory of disrupting the fintech landscape
• Challenging projects and freedom to experiment
• Continuous learning: free English classes, IT certifications, technical events, budget for book or online training sites
• Standard perks: free coffee / tea/ fruits, no dress code