Remote Market Research Data Scientist — Shape Insights from Anywhere

If numbers tell a story, you’re the one who finds the twist no one else saw coming. This isn’t just running reports—it’s spotting subtle shifts, predicting what’s next, and helping people act before the rest of the market even realizes what’s happening. And you can do it all from wherever you work best—your kitchen table, a favorite coffee shop, or a sunny park bench.

Why This Role Feels Different

Plenty of jobs ask you to work with data. Here, the real value comes from uncovering what the data means. The patterns you spot can move a product launch forward, reshape a campaign, or give a brand the edge it needs. Not long ago, one of our analysts picked up on a small but unusual jump in online searches for a client’s product type. After digging deeper, it became clear that a competitor was preparing a big release. The client adjusted their plans early and ended up with a noticeable revenue boost. That’s the kind of difference sharp insights can make.

A Glimpse Into Your Day

Your morning might start with coffee and a short video call. Someone mentions a market change that caught their eye. You open your tools, dive into the data, and start connecting the dots. Some days, you’re cleaning messy datasets. Other days, you’re building models to predict upcoming trends.

• Pull together market data from multiple sources.
• Spot signals that point toward risks or opportunities.
• Create models that forecast what’s likely to happen.
• Turn detailed findings into clear, engaging takeaways.
• Partner with marketing, design, and research teams to make sure your work drives action.

Sometimes the pace is quick—like when we wrapped a competitor review in under 48 hours for a major client. Other times, you get the chance to dig deep without distraction.

Tools That Power the Work

We use Python, R, SQL, Tableau, and a few in-house tools. You don’t need to know them all on day one—what matters most is choosing the right tool for the challenge in front of you. If you’ve worked on forecasting, consumer segmentation, or sentiment analysis, you’ll feel at home. If not, curiosity and persistence are your best assets.

Keeping Remote Work Connected

Remote work can feel disconnected, but we make sure it doesn’t. We have weekly team huddles, quick virtual coffee chats, and even a chat channel just for sharing wins and lighthearted moments. When Priya recently solved a tricky dataset issue, the excitement in our chat felt like we’d just won a championship. Wins, big or small, matter here. We trust you to work independently, but you’ll never be left without support.

Skills That Will Help You Thrive

• Solid background in statistical analysis and predictive modeling.
• Experience with Python, R, or similar tools.
• Explaining complex findings in a way anyone can follow.
• A drive to look beyond the obvious.
• Clear, approachable communication style.
• Nice-to-have: background in consumer behavior or competitive research.

What to Expect in Your First 90 Days

• Month 1: Learn our systems, meet your teammates, and follow along on active projects.
• Month 2: Take charge of a smaller project and share your results.
• Month 3: Lead projects from start to finish and help guide decision-making.

Salary and Benefits

This role pays $176,980 annually, plus:

• Flexible scheduling to fit real life.
• Paid time off that you’re encouraged to use.
• Budget for training and professional events.
• Support for creating your ideal home workspace.
• Company retreats to connect in person.

Why You Might Love This Job

You enjoy puzzles, identifying patterns that others miss, and knowing your work makes a real difference. You want to work somewhere that values both focus and flexibility—and doesn’t mind a laugh during meetings.

Ready to Jump In?

If uncovering stories hidden in the data excites you, we’d love to work with you. Bring your curiosity, skills, and determination. We’ll bring interesting projects, the right tools, and a supportive team. In the right hands, market research isn’t just about numbers—it’s about sparking the choices that shape what comes next.