Senior Data Scientist

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.

Responsibilities

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.

Benefits

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.