Senior Product Data Scientist - Investors Vertical

About the Role

We're looking for a sharp, driven Senior Data Analyst to join our fast-paced Data Labs team. In this role you'll own the investors vertical: you'll work directly with hedge funds, private equity and venture capital firms to help them get more out of Similarweb data, and build the datasets and data feeds they use to make investment decisions. As part of a high-performing group of analysts, you'll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights.

What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like:

• Work with portfolio managers, analysts, and data science teams at funds: answer their technical questions, run trials with them, and turn what they ask for into datasets you can deliver at scale.
• Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
• Apply your expertise in quantitative analysis and data mining to turn data into insights.
• Conduct research and develop tools which will help answer client's' business. questions by using Similarweb's raw data sets and algorithms.
• Partner with Engineering teams to establish an infrastructure to scale solutions.
• Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

This is the perfect job for someone who has

• At least 3 years experience with Python/SQL/pySpark for data analysis
• Worked with data at a hedge fund, asset manager, PE or VC form or for a data provider that directly worked with the investment industry.
• Excellent verbal and communication skills in English
• AWS Infrastructure experience - Big Advantage
• Working with clients - Big Advantage.
• Proficiency in Online Marketing/Online Services - Advantage
• At least 2 years work experience in Online/Tech Company - Advantage
• Team player, autodidact, fast learner with excellent analytical, research and business skills.
• Demonstrates initiative and a proactive mindset -Must
• Experienced in independently managing complex projects from start to finish.
• Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
• Master's degree - Big Advantage.

*Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.*

At Similarweb, collaborating with our colleagues in the office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.

The base salary range for this position in the New York City area is $120,000 to $165,000, plus benefits, including: medical, dental, and vision insurance, 401K plan, potential equity, employee stock purchase plan, and paid sick and parental leave.

The base salary range above is for the New York City area, and could vary for candidates in other locations.

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 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.

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