With a $150 million funding round received recently from Insight Partners and impressive yearly revenue growth, Lansweeper is rapidly expanding its Global teams. We now need a Senior Platform Engineer to help us scale and to take Lansweeper to the next level.
Lansweeper is an IT asset management software helping businesses better understand, manage and protect their IT devices and network. We currently discover and monitor around 100 million connected devices from 25,000+ customers, including Mercedes, FC Barcelona, Michelin, Sony, Carlsberg, Nestlé, IBM, Maersk and Samsung to governments, banks, NGOs, and universities, driven by its 150+ strong teams in Belgium, Spain, Italy, Ireland, UK and the USA.
Over 90% of our customers renew their subscriptions every year and we onboard 250 new customers every month. Our high-performance/high-reward culture emphasizes improvement and progress. Under the "work hard, play hard" motto we want employees to grow professionally through ongoing learning and taking on new challenges. Discover more about Lansweeper impressive growth on this video .
If you believe you have what it takes to help us take Lansweeper to the next level contact us now!
We are seeking an experienced and highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will possess a deep understanding of data analysis, statistical modeling, and machine learning techniques. This role involves leading data science projects, developing and optimizing machine learning models, and providing strategic insights to drive business decisions.
Key Responsibilities
- Leadership & Strategy:
- Lead the development and execution of complex data science projects from ideation to deployment.
- Develop and implement data science strategies that align with business objectives and drive impactful outcomes.
- Mentor and guide junior data scientists, fostering a culture of learning and collaboration.
- Data Collection & Preparation:
- Oversee the collection, cleaning, and preprocessing of data from various sources to ensure data quality and integrity.
- Conduct exploratory data analysis to uncover insights, patterns, and trends.
- Model Development & Innovation:
- Design, develop, and implement advanced machine learning models to address complex business challenges.
- Employ a variety of supervised and unsupervised learning techniques, including deep learning, natural language processing (NLP), and reinforcement learning.
- Innovate and explore new methodologies to advance our machine learning capabilities.
- Model Evaluation & Optimization:
- Evaluate model performance using robust metrics and validation techniques.
- Optimize models for accuracy, efficiency, scalability, and interpretability.
- Implement model monitoring and maintenance to ensure long-term effectiveness.
- Collaboration & Communication:
- Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to understand requirements and deliver impactful solutions.
- Communicate complex technical findings and insights to non-technical stakeholders in a clear and concise manner.
- Research & Continuous Learning:
- Stay current with the latest advancements in machine learning, data science, and related fields.
- Lead research initiatives and contribute to the continuous improvement of our data science practices.
Qualifications
- Education:
- Degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Experience:
- 5+ years of experience in data science and machine learning, with a proven track record of successful projects.
- Extensive experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, or scikit-learn.
- Proficiency with data visualization tools such as Tableau, Power BI, or matplotlib.
- Skills:
- Advanced programming skills in Python or R.
- Expertise in SQL and experience with relational and non-relational databases.
- Deep understanding of statistical methods and data analysis techniques.
- Familiarity with big data technologies such as Hadoop, Spark, or cloud-based data services.
- Strong problem-solving skills and attention to detail.
- Excellent leadership, communication, and collaboration abilities. (Spanish and English)
Preferred Qualifications
- Experience with advanced techniques such as natural language processing (NLP), deep learning, and reinforcement learning.
- Knowledge of cloud platforms (AWS, Google Cloud, Azure) and their machine learning services.
- Experience with version control systems, such as Git.
- Familiarity with Agile methodologies and project management tools like Jira.
Our offer you can't refuse
- Growing along with a company in full expansion.
- Variation, challenges and responsibility.
- Easy-going teamwork.
- Working with leading tools and newest technology.
- Extra company benefits (medical insurance, pension plan, IT equipment, allowances, teambuilding activities,...).
- Hybrid working.
- Flexible working hours.
- Internal and external training.
What the Team is Saying
What We Do
Managing IT has never been a bigger challenge. Hardware, software, and users can be anywhere at any time, making IT environments extremely dynamic and often complex. A seemingly simple question has become terribly difficult to answer: ‘Who is using what device?’
IT managers have to make decisions that are often based on scattered, out of date, and incomplete data sources. How can you effectively manage the IT of an organization, if you’re not 100% sure of what assets you have to manage in the first place?
This question inspired Lansweeper and still drives us today. We believe that answering it is crucial to tackle and simplify many of the challenges IT professionals face every day.
Centralized IT Asset Data enables every stakeholder who needs insights into your company’s IT landscape to speak the same language. Connecting and centralizing IT Asset Data to collaborate across silos, locations, and departments is essential.
Eliminate the blind spots from your environment and discover assets you didn't even know about. Lansweeper's IT Inventory Platform provides you the means to achieve complete visibility into your IT, centralized into one solution, helping you gain an in-depth understanding of your entire IT estate.
Lansweeper creates a substantial reduction in the measure of time IT teams would ordinarily spend on routine, yet key assignments, such as network discovery, inventory, software distribution, licensing and updates. This task automation is critical for organizations with restricted staff and IT spending plans. Reveal needless expenses, support budgeting decisions, and manage your IT cost-effectively with Lansweeper
The basic premise of good cybersecurity is that you can’t protect what you can’t see. So the critical first step when it comes to basic cyber hygiene is to maintain visibility of your IT environments and develop the relevant daily routines to inspect and verify.
Why Work With Us
We are a Team, that Cares, Grows & Delivers.
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Lansweeper Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
