Senior Data Scientist

About the role

Solvd Inc. is a rapidly growing AI‑native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. The Senior Data Scientist will lead end‑to‑end data science projects and collaborate with business stakeholders to deliver measurable AI‑driven solutions.

Key responsibilities

• Deliver end‑to‑end data science projects using classical machine learning and deep learning, from data exploration 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 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.
• Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.

Required profile

• Proven experience delivering end‑to‑end data science projects, including exploratory analysis, model deployment, performance evaluation, and experimentation.
• Strong expertise with tabular and time‑series data, feature engineering, predictive modeling, and model evaluation.
• Proficiency in Python and common data‑science libraries such as pandas, scikit‑learn, TensorFlow or PyTorch.
• Experience leading or mentoring analytics teams and coordinating with business stakeholders.
• Excellent communication skills to translate technical results into business value.
• Confidence in client‑facing settings and fluency in English.

Required skills

• Python
• pandas
• scikit-learn
• TensorFlow
• PyTorch

What we offer

• Work on real‑world AI projects across key industries, from startups to enterprise transformation.
• Join a global, inclusive team with collaboration across continents and a focus on continuous learning, innovation, and ethical AI.
• Opportunity to shape the Data Science practice and grow with industry experts.