Senior Product Data Scientist - Investors Vertical

Similarweb
New York, NY
Hybrid

Who this role is best for

Geared toward candidates with prior experience in the investment industry and comfortable with building custom data products for hedge funds and VCs.

Best fit for

  • Candidates with experience in the investment industry and a background in data analysis using Python/SQL
    — “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.”
  • Individuals who can independently manage end-to-end projects and deliver scalable solutions
    — “Experienced in independently managing complex projects from start to finish.”
  • Professionals who have worked with Python/SQL and have a strong analytical background
    — “At least 3 years experience with Python/SQL/pySpark for data analysis”

Things to consider

  • US citizenship or work authorization is required due to no visa sponsorship availability
    — “Applicants must be authorized to work for any employer in the U.S.”
  • The role requires in-office collaboration, despite partial remote flexibility
    — “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.”

How to stand out

  • Highlight experience in delivering custom data products to investment clients in your resume and interview
    — “build the datasets and data feeds they use to make investment decisions”
  • Emphasize your ability to handle complex, ad hoc requests from high-profile clients
    — “handle complex, custom requests from some of the biggest names in the market”
  • Demonstrate your ability to translate technical data into strategic business insights
    — “Apply your expertise in quantitative analysis and data mining to turn data into insights.”
  • Mention your experience with AWS infrastructure to align with the role's preferences
    — “AWS Infrastructure experience - Big Advantage”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • 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
Typical background
Bachelor's in Statistics, Computer Science, Engineering, or related field

Skills & requirements

Required

PythonSQLPysparkData AnalysisQuantitative AnalysisData MiningAWS InfrastructureCommunication Skills

Preferred

Online MarketingOnline ServicesPMPCCM

Stack & domain

PythonSQLPysparkAWS InfrastructureOnline MarketingOnline ServicesLeadershipCommunicationTeam PlayerAutodidactFast LearnerAnalyticalResearchBusinessFinanceInvestment Industry

About the role

Original posting from Similarweb via Greenhouse

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 over 6,000 customers globally, including industry giants like Google, Meta, and OpenAI, 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.

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.

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.

#LI-SS #LI-Hybrid

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Source: Similarweb careers (Greenhouse)

Similar roles

More roles at Similarweb