Product Analyst (NLP, Machine Learning Research)

Job Description

A hybrid work model requires 1-2 day/days a week in the office.

We are looking for an experienced individual to fill the position of Product Analyst, in the Language Intelligence area, under the Machine Learning Research department, who will play a key role in shaping products such as Semantic Search and Machine Translation by analyzing product data, creating forecasts, and valuing new product initiatives. A crucial aspect of this role will be the ability to derive insights from data, generate hypotheses, and create product development strategies based on analysis. The ideal candidate should be an SQL expert, have a basic understanding of Python and ML modeling, and possess knowledge of statistical methods. 

Machine Learning Research Lab provides AI solutions tailored for eCommerce. 

In the Language Intelligence area, our mission is to ensure that language on international platforms supports effortless shopping and selling. 

By joining us, you will have a significant impact on AI at Allegro. 

If you want to learn more, check out https://ml.allegro.tech/.

What will your work consist of?

• Analyzing product data using SQL to understand customer behavior, identify trends, and areas for optimization.
• Taking an active role in generating hypotheses, deriving insights from data, generating recommendations based on data, and creating product development strategies.
• Conducting statistical analysis and creating forecasts.
• Preparing models and tools for valuing new initiatives and product strategies.
• Creating data visualizations using Tableau or Looker Studio.
• Collaborating with project teams to develop product improvement strategies based on data analysis and forecasts.
• Helping prepare and set up A/B tests.
• Analyzing the complete ML pipeline, highlighting potential areas for improvement and bottlenecks.
• Designing experiments for ML projects, such as A/B tests, causality exploration, and model analysis, and subsequently offering insights derived from observations.

We are looking for people who:

• Have the ability to actively derive insights from data, generate hypotheses, and create product development strategies.
• Have experience working with databases and excellent knowledge of SQL to create complex queries and analyses.
• Are able to work in the cloud environment and are familiar with the GCP or other ecosystems.
• Possess basic programming skills in Python for automating analyses and data processing.
• Are capable of applying statistical knowledge in practice.
• Have basic knowledge of the Git version control system.
• Have experience in creating data visualizations using tools like Tableau or Looker Studio.
• Exhibit excellent communication skills, both written and verbal.
• Can work in a team and collaborate with various departments.
• Have basic knowledge of ML modeling and understand the AI model lifecycle.

What we offer:

• A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
• Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results)
• A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)
• English classes that we pay for related to the specific nature of your job
• Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise
• A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things
• Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)
• Internal ML-seminars (both covering broad ML topic, as well as domain oriented)

 Send in your CV and see why it is #goodtobehere