Similarweb empowers over 4300 global customers with data-driven insights and competitive benchmarks. We support the digital strategies of companies like Google, eBay, and Adidas. Similarweb went public on the NYSE in 2021 and continues to grow rapidly.
Role Summary:
We are looking for a Senior Software Engineer/ Machine Learning to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Skills:
- Master’s degree in Computer Science or equivalent practical experience.
- At least 3 years of experience in data engineering or related roles.
- Experience with big data , Machine Learning - a must ! .
- Proficiency in Python- must. Scala is a plus.
- Experience with Big Data technologies such as Spark, Docker, k8s, EMR, Airflow….
- Familiarity with distributed computing on the cloud (such as AWS or GCP).
- Strong problem-solving skills and ability to learn new technologies quickly.
- Being goal-driven and efficient.
- Excellent communication skills and ability to work independently and in a team.
Why you’ll love being a Similarwebber:
You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.
We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.
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Last updated on Aug 25, 2024
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