Product Data Science (Data Labs)

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 5,700 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. We’re looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. 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. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team. What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like: 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 2 years experience with SQL/pySpark for data analysis - Must Experience in Python scripting - Must Excellent verbal and communication skills in English - Must 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. **At Similarweb, collaborating with our colleagues in-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 New York City is $80,000 - $120,000 plus benefits including: medical, dental and vision insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental leave. Individual compensation is based upon a number of factors, including qualifications and relevant experience. The base salary range above is for the New York City metro area, and could vary for candidates in other locations. *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.* 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-SL #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .

{
  "content_hash": "0fcaa3d16c14f30d122e844c656fc3bba3a5fd3a338ff7d67502bd280b59f16e",
  "source_hash": "7313dee60fafbf4c5f3cebf88e0f2ffc97dedce08d90a97b52dd8a68ebaa720b",
  "last_changed_at": "2026-05-29T22:57:10.353Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "New York, NY",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": 120000,
  "salary_min": 80000,
  "inferred_at": "2026-06-06T19:41:13.782Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York, NY",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "title": "Product Data Science (Data Labs)",
  "offices": [
    {
      "id": 5118,
      "name": "NY",
      "location": "New York, New York, United States",
      "child_ids": [],
      "parent_id": 245996
    }
  ],
  "language": "en",
  "location": {
    "name": "New York, NY"
  },
  "metadata": [
    {
      "id": 3909555,
      "name": "Reason for opening",
      "value": "New Headcount",
      "value_type": "single_select"
    },
    {
      "id": 4764814,
      "name": "Job Name",
      "value": "Data Analyst",
      "value_type": "single_select"
    }
  ],
  "updated_at": "2026-05-05T13:07:33-04:00",
  "departments": [
    {
      "id": 7114,
      "name": "R&D",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Similarweb",
  "requisition_id": 3159020,
  "first_published": "2025-05-30T13:53:15-04:00",
  "application_deadline": null
}