About Lalilo

Lalilo is an EdTech company building a web-based app to help elementary teachers differentiate their reading instruction. Our vision is to support educators in the classroom by gathering pedagogy, design, and artificial intelligence in the most engaging learning platform. We believe teachers have the hardest, most impactful, and most important job in society - and we want to help them in their mission to help students. We also believe every student should be given every chance to succeed, and this starts by becoming a proficient reader.

Our software is used by more than 100,000 teachers worldwide as well as 1.2M students and growing! On the student side, students evolve through different worlds and collect treasures as they go. They complete exercises in phonics, sight words, word families, and comprehension. On the teacher side, detailed reporting allows teachers to better understand student strengths and areas of need. Educators can also print weekly reports and invite families to use the platform at home.

We are a team of 34 passionate, hard-working, and fun individuals based in France.

About Renaissance Learning

Since 2021, Lalilo is part of the International group Renaissance Learning, a worldwide leading provider of assessment technology to primary and secondary schools. Renaissance products promote success amongst students of all ages and abilities through personalised assessment and practice in reading and maths.

Our software helps to enhance literacy and numeracy skills, support differentiated instruction, and personalise learning to optimise student development. Immediate feedback and detailed reporting equip teachers with the information needed to monitor progress and measure growth. Worldwide, we support over 18 million students, operating in 96 countries.

Our values

We believe that transparency is key to work in a trustworthy environment. We apply transparency between Lalilians, as well as with people who interact with Lalilo.

We strive at providing what people we work with and people we work for need. By approaching situations from a caring perspective, we strive to have tough conversations and make tough decisions without being hurtful or judgmental.

We are a strong supporter of self-governance and apply it as much as we can. At Lalilo anyone can take any decision if taking into account the opinion of relevant and impacted people.

If you want to learn more about our manifest and values, have a look here 🙂

About the position

Within the Data & AI team, we build innovative applications for Lalilo and other products within the Renaissance portfolio. We also partner with Research Labs and Public authorities (for instance we are laureate in France of the P2IA - Partenariat d’Innovation en IA). We use data to build powerful tools and generate insights to accelerate learning for all students.

Our current applications are numerous:

• Automatic speech recognition to detect and diagnose reading mistakes or to compute a fluency score when reading aloud

• Adaptive learning to provide each student with the most adapted exercises considering their difficulties, and make sure their learning time is efficient

• Smart features to enable teachers, students or the Lalilo team (using GenAI or others)

• Data exploration & self-service to bring autonomy and insights to both internal business and product teams enabling more data-driven decisions

• Research & external partnerships to foster innovation and measure the efficacy of our product

As a Senior Data Scientist with a strong product mindset, you will play a key role at both a strategic and operational level. You will leverage data science and machine learning techniques to develop innovative features and improve the efficacy of our product. Reporting to the Head of Data & AI, you will join a team of 7 full-time experts: 2 Data Scientists, 1 Research Engineer, 1 ML Ops, 1 Analytics Engineer and 2 Data Analysts.

You will also closely interact with business, product, pedagogical and software engineering teams.

Key Responsibilities

• Innovative smart features | Develop and apply machine learning or statistical models to improve our current applications or invent new ones, to drive learning efficacy, student and teacher engagement.

• Advanced Analytics | Analyze user data to identify patterns, trends, and areas to solve complex problems related to adaptive learning, user engagement, or product optimization.

• Data-Driven Decision Making | Use data science techniques to provide actionable insights and support data driven product decisions.

• Collaborative Innovation | Work closely with product managers, engineers, and designers to integrate data science solutions into product development processes.

About you

We’re looking for somebody who has:

• Proven experience in implementing ML systems | Proficiency in Python, experience with several Machine Learning models

• Product-focused mindset | Use the most appropriate ML / DS / DA toolset to solve our users’ challenges (teacher, student or internal) in a data-driven mindset

• Strong analytical skills | Structured and logical mindset capable of understanding the data and extract actionable insights.

• Collaboration and communication skills | Experience working in cross-functional teams

• Proactiveness, self-direction, organisation, and ability to navigate in complex environments with autonomy

If you are a results-driven individual fired up by the idea of transforming education through data, we invite you to apply and contribute to our mission of ending illiteracy and accelerating learning for all students worldwide.

Requirements

1. Education | Master Degree or PhD in a technical field (Engineering, Computer Science, Applied Math)

2. Experience | Proven track record of 3 to 7 years in data science and ML roles, with a minimum of 3 years specifically in ML. Strong affinity for data-driven decision-making.

3. Technical Skills | Proficiency in Python and ML concepts

Appreciated

1. Industry knowledge | In-depth understanding of the EdTech landscape, including international trends, challenges, and opportunities.

2. Research experience | Experience publishing professional white papers on newest trends or research papers in scientific conference proceedings or journal

3. Analytics experience | Experience and affinity with SQL, data analysis tools such as PowerBI, Tableau, or similar

4. Mentorship skills | Mentor data scientists and provide guidance on best practices in model development, and product-focused data science.

• Short call (30 mn)

• Technical interview (60mn)

• Product case-study (60)

• Fit interview (60 mn)

• Two-way reference calls