Description
At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.
We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of an ML & Big Data Analyst at Similarweb look like:
- Apply your expertise in quantitative analysis and data mining to turn data into insights.
- Conduct research and develop tools that will ensure the quality of Similarweb’s data and algorithms.
- Utilize your deep understanding of Similarweb’s data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
- Partner with Big Data Engineers to establish an infrastructure to scale solutions.
What will I bring to the team?
- At least 2 years of work experience in a Tech Company - Must
- At least 2 years' experience in Python scripting - Must
- Experience with SQL for data analysis -Must
- Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
- Hadoop/Spark/AWS Infrastructure experience - Big Advantage
- Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
- Excellent verbal and communication skills (in English) - Must
- Team player, autodidact, fast learner with excellent analytical, research, and business skills.
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.
You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.
Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: HTTPS://WWW.SIMILARWEB.COM/CORP/LEGAL/APPLICANT-PRIVACY-POLICIES
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.
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