Senior Data Scientist

November 10

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Solvd, Inc.

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SaaS • B2B • Enterprise

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

501 - 1000 employees

Founded 2010

☁️ SaaS

🤝 B2B

🏢 Enterprise

📋 Description

• 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.

🏖️ 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.