Senior Data Scientist

Job not on LinkedIn

July 28

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

📊 Data Scientist

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exequt

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IT Solutions • Cybersecurity • Digital Transformation

exeQut is an innovative IT consulting and development company that specializes in streamlining digital transformation processes for businesses across various sectors. With a focus on cybersecurity, data solutions, and IT infrastructure, exeQut partners with organizations in the public sector, healthcare, telecommunications, and more, to create tailored solutions that drive efficiency and measurable results. Committed to adapting to new challenges and leveraging emerging technologies, exeQut prioritizes the success of its clients by ensuring that strategies are actionable and results-oriented.

11 - 50 employees

Founded 2013

🔒 Cybersecurity

📋 Description

• We are looking for an experienced Senior Data Scientist to join our dynamic team at ExeQut. • In this role, you will drive the development and deployment of machine learning and AI solutions that solve complex problems across various industries. • The ideal candidate will have a strong background in data science, hands-on experience with advanced machine learning techniques, and a proven track record of leading projects with measurable impact.

🎯 Requirements

• 6+ years of experience in Python for data analysis and modeling (pandas, NumPy, scikit-learn). • 5+ years of experience with SQL for data manipulation and querying. • 4+ years of experience deploying machine learning models on cloud platforms (AWS, Azure, or GCP), utilizing services such as AWS Lambda and SageMaker. • 5+ years of experience with machine learning techniques such as deep learning, ensemble methods, and time-series forecasting. • Experience leading data science projects end-to-end and mentoring junior team members. • Ability to collaborate with cross-functional teams and lead projects from start to finish. • Strong communication skills for explaining technical concepts to non-technical stakeholders. • Nice to Have • Experience with big data tools like Apache Spark or PySpark. • Familiarity with DevOps/MLOps tools for CI/CD pipelines, Docker, and Kubernetes. • Certifications such as AWS Certified Solutions Architect (Associate or Professional), Google Cloud Professional Machine Learning Engineer, or TensorFlow Developer Certificate.