Digital Pills

Junior Data Scientist

Job description

Full time position and internship contract 

Starting date: January 2024

Job description

At Digital Pills, our mission is to empower businesses with the strategic use of data science. As a Junior Data Scientist, you will be an integral part of our mission by applying your analytical and statistical expertise to unlock valuable insights from data. Your role will involve collaborating with clients to identify patterns, trends, and opportunities that will drive data-informed decision-making, foster innovation, enhance productivity, and enable our clients to achieve their business goals through data-driven strategies. Your work as a Junior Data Scientist will be at the forefront of driving positive change and ensuring our clients' success in an increasingly data-centric world.

As a data scientist, the results we expect you to contribute are as follows:

  • Analyze large datasets to identify actionable insights that drive business growth and innovation for our clients.
  • Contribute to the creation of machine learning models that enhance customer segmentation and personalization strategies, resulting in increased customer engagement and conversion rates.
  • Collaborate on testing and experimentation projects that optimize marketing campaigns and product offerings, ultimately increasing client ROI.
  • Assist in the development of recommendation engines that improve user experiences and drive higher retention rates for our clients' digital products or services.
  • Conduct statistical analyses that uncover hidden trends and patterns within data, supporting our clients in making informed strategic decisions.
  • Work on natural language processing projects that extract meaningful insights from unstructured text data, leading to improved sentiment analysis and customer feedback processing
  • Contribute to the development of data-driven reports and insights that provide actionable recommendations to clients, enabling them to address specific business challenges.

Education & Experience 
  • Completed or ongoing Master's degree in Data Science & Engineering, Mathematical Engineering or equivalent practical experience

Hard Skills (essential)
  • Good programming skills: you must have a good knowledge of at least one programming language, preferably Python. 
  • Good knowledge of the SQL language 
  • Solid understanding of statistical principles. This includes knowledge of concepts such as correlation, distributions, hypothesis testing and regression.
  • Machine learning skills. This includes knowledge of algorithms such as linear regression, logistic regression, decision trees, support vector machines, clustering, etc.
  • Data analysis. A junior data scientist should be able to work with large amounts of data, perform exploratory data analysis, and apply data wrangling techniques to prepare data for analysis. This may include data cleaning, preprocessing, handling null or incomplete data, outliers, and extracting relevant features.

Soft Skills (essential)
  • Efficiency. Able to produce significant output with minimal wasted effort.
  • Attention to detail. Does not let important details slip through the cracks or derail a project.  
  • Honesty/integrity. Does not cut corners ethically. Earns trust and maintains confidence. Does what is right, not just what is politically expedient. Speaks plainly and truthfully. 
  • Intelligence. Learns quickly. Demonstrates ability to quickly and proficiently understand and absorb new information. 
  • Teamwork. Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
  • Enthusiasm. Exhibits passion and excitement over work. Has a can-do attitude. 

Skills (desirable)
  • Familiarity with Google Cloud Platform, especially BigQuery, Cloud Function, Cloud Scheduler, tools needed to set up an automated model.
  • Ability to communicate data analysis results through effective visualization. Ability to use visualization libraries such as Matplotlib or Plotly and automated reporting tools such as Looker Studio to create graphs and visualizations that clearly convey information to non-technical audiences.

What we offer
  • Salary: 800€/month
  • Paid internship with meal vouchers for in-office days
  • Continuous training and development
  • Flexible workplace (8 days / month in-office presence is required)

About Digital Pills

 At Digital Pills, our mission is to empower businesses with the strategic use of data.

Our clients range from big corporations to elite B2C and B2B players. We also collaborate with foundations and non-profit organisations.

While growing quickly, we’re still a small company with a startup-like culture which offers maximum personal freedom and flexibility along with the ability to be agile. 

Our Company Values are:

  • Vertical Boutique: To compete with established players, vertical specialization is the essential ingredient. For us, this specialization is focused on data, which forms the core of our approach.
  • Research and Development (R&D) and Training: We invest 30% of our time in individual training and Research and Development projects. This keeps us constantly updated on the latest trends and technologies, ensuring cutting-edge service for our clients.
  • People at the Center: We create a unique and motivating work environment to attract the best talents in the industry. Our corporate culture is geared toward maintaining high levels of quality in every aspect of our work.
  • Social Impact on the Community: We are committed to making a positive contribution to the community. We donate 1% of our annual revenue to Pro-bono initiatives, and every member of our team dedicates 40 hours per year to non-profit projects. With our social commitment, we aim to make a difference in people's lives and create a better world.

Joining our team means embracing these values and contributing to our mission of providing data-driven solutions that transform businesses.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

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