Junior Data Scientist

Arsenault; Frankfurt; On-site; EUR 55,000 - 75,000; Full time

Job summary

Arsenault is seeking a Jr Data Scientist to help develop solutions for digital marketing use cases using statistical methods, data mining, and data engineering. You will work with Analytics, Media Buying, Solutions Engineering, and Econometrics teams.

You will participate in all stages of internal research & development and client projects, including project definition, data discovery, data engineering, model development and deployment, evaluating options, and making recommendations.

Qualifications

• BSc or MSc in a quantitative STEM subject.
• Proven ability to translate business problems into data solutions.
• Experience with cloud platforms (GCP/Azure/AWS).
• 1+ years in data science with digital marketing analytics.
• 1+ years Python/R experience.
• 1+ years SQL experience (BigQuery/Snowflake).
• 1+ years Experience using Power BI/Tableau/Looker.
• Ability to explain methods to non-technical stakeholders.
• Willingness to teach and learn new techniques.
• Fluency in German and English.

Responsibilities

• Use predictive modeling to improve customer experiences, revenue, ad targeting and outcomes.
• Use statistical analysis and ML libraries to quantify online activities impact on offline conversions.
• Deploy cloud resources to analyze large data sets (Azure/AWS/GCP).
• Assist DS team to create ML pipelines from data wrangling to production.
• Utilize data visualization to explain data and models to clients and teams.
• Mine data to support projects and prepare information models to test hypotheses.
• Assist designing and managing experiments for accuracy and significance.
• Collaborate with Econometrics team on Marketing Mix and MTA modelling.

Skills

Data science

Digital marketing analytics

Python / R

SQL / BigQuery / Snowflake

Power BI / Tableau / Looker

Model deployment / ML pipelines

Data visualization

Excellent communication

German & English fluency

Education

BSc or MSc in quantitative STEM

Tools

Power BI

Tableau

Looker

Snowflake

BigQuery

Job description

The Jr Data Scientist will help develop solutions for digital marketing use cases using statistical, data mining methods and data engineering solutions, working closely with our Analytics, Media Buying Account Management, Solutions Engineering, and Econometrics teams. The Jr Data Scientist should be on the right track to become a data specialist with a vision to have a solid background in digital marketing and strong experience in the deployment of propensity modeling, clustering analysis, churn analysis, product recommender systems and descriptive analytics. The candidate can expect to participate, with the support of senior members of the team, in all phases of internal research & development and client projects, including project definition, data discovery, data engineering, model development and/or data mining, evaluating options, and making recommendations.

Responsibilities

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Use statistical analysis and machine learning libraries (R Stats, Python StatsModels, scikit-learn, etc.) to create models that quantify the influence of online activities on offline conversions.
• Deploy cloud resources (Microsoft Azure, AWS, GCP or other) to perform analysis on large data sets.
• Assist the DS team to create ML pipelines models from data-wrangling to getting it into production.
• Utilize data visualization techniques to explain data and models to clients and internal teams (Power BI, Tableau, Looker, etc.).
• Mine data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses.
• Assist designing and managing experiments to ensure proper execution, data cleanliness, and statistical significance of results.
• Work closely with the Econometrics team in London and assist consultants on building the Marketing Mix and MTA modelling capacity in the region.

Required Skills And Qualifications

• BSc or MSc in a quantitative STEM subject such as Computer Science, Mathematics, Econometrics.
• Proven experience articulating, translating, and solving business problems through data.
• Familiarity working in a cloud platform such as GCP, Azure or AWS.
• 1+ years of experience in data science with a focus on digital marketing analytics, statistical modeling, machine learning for forecasting, classification and optimization.
• 1+ years of experience analyzing large data sets with the Python or R data ecosystem.
• 1+ years querying large databases (SQL, Snowflake, BigQuery or similar).
• 1+ years experience using Power BI, Tableau, Looker, or similar.
• Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making.
• Willingness to both teach others and learn new techniques.
• Advanced German and English communication skills.

Preferred Qualifications

• 1+ years of experience leveraging digital analytics (Google/Adobe Analytics) and measurement solutions data in the digital advertising industry with client vertical experience including: retail, financial services/retail banking, insurance, telecommunications, automotive or CPG.
• A GCP, Azure or AWS certification such as GCP Professional Data Engineer, Azure Data certification, AWS Certified Machine Learning (or similar).

About Arsenault

Arsenault is on a mission to create a new future for this industry. Our vision? Build everything with a belief that changing for good comes from changing who does the work. Yep, that means you. Welcome to the partyone global, cross-cultural collective with a passion for using our skills to create better and a better world. Thats how were able to connect the dots between data, content, digital media, and technology from everywhere we area true end-to-end model. Joining the Arsenault collective means having the opportunity to create award-winning work with some of the most gifted, focused, joyful, talents from all over the world.