Senior Data Scientist

Description:

Semrush, a global leader in online visibility management and digital marketing technology, is seeking a Senior Data Scientist for Financial Markets to join its Product Sales Team. This high-impact role sits at the intersection of quantitative research, product innovation, sales, strategy, and client success, aimed at delivering actionable alternative data solutions to the world’s leading hedge funds, asset managers, investment banks, and PE/VC firms.

With over 10 million users worldwide, $400M+ in annual recurring revenue, and a strong presence across global markets, Semrush is expanding its enterprise solutions for institutional finance and alternative data consumers.

Key Responsibilities

• Lead and scale a portfolio of alternative data feed products for systematic, discretionary, and hybrid investment workflows.

• Develop investment signals leveraging alternative data sources (e.g., credit card, receipt, clickstream, web, app, and transactional datasets).

• Evaluate and integrate internal and third-party datasets to enhance coverage, quality, and commercial appeal.

• Conduct backtesting and quant-driven analyses to assess data utility.

• Collaborate closely with engineering, sales, GTM, and product teams to ensure smooth integration and delivery.

• Identify market gaps and drive product innovation beyond traditional financial data feeds.

• Create research content including white papers, case studies, and notebooks to educate and influence institutional buyers.

Requirements

• 5+ years in quantitative research, data science, or alternative data strategy roles within institutional finance.

• Strong proficiency in Python, SQL, and data engineering/statistical tools.

• Deep understanding of quant fund workflows including alpha discovery, signal validation, and portfolio integration.

• Proven experience launching and growing data products or strategies for hedge funds, asset managers, or similar institutions.

• Ability to translate complex datasets into clear business value for both technical and non-technical stakeholders.

• Strong communication skills with an entrepreneurial mindset capable of leading initiatives from inception to execution.

Preferred Skills

• Established network in the buy-side and alternative data community.

• Experience working with time-series, transactional, or behavioral datasets.

• Background in creating research and marketing collateral for sophisticated institutional clients.

• Prior involvement in third-party data acquisition or evaluation.

Benefits

• Flexible working hours and fully remote work arrangement.

• Unlimited PTO (Paid Time Off).

• Flexi benefit for hobbies and personal development.

• Employee Support Program and financial aid for family loss.

• Corporate events, team-building activities, and gifts for employees.

• Access to training, courses, and conferences for continuous professional growth.