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Solvd Inc. Logo Solvd Inc. · IT - Software Development

Senior Data Scientist

· Job Posted February 18, 2026
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Job Description

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Job Responsibility

  • Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking
  • Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions
  • Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences
  • Contribute to analytical planning and ensure alignment with overall business objectives
  • Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value
  • Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives

Requirements

  • Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing)
  • Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation
  • Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch)
  • Experience leading or mentoring analytics teams and coordinating with business stakeholders
  • Excellent communication skills, able to translate between technical and business perspectives effectively
  • Solid understanding of business processes and data structures
  • Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value
  • Fluency in English for meetings with international clients

Nice to have

  • Hands-on experience with deep learning, computer vision, or generative AI projects
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools
  • Experience with data visualization or BI tools for communicating insights

What we offer

  • Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
  • Be part of a global team with equal opportunities for collaboration across continents and cultures
  • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards
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