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Scientist II Jobs (Remote work)

4 Job Offers

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Data Scientist II (Soccer)
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Join Teamworks as a Data Scientist II on the Soccer team, building ML models from tracking and event data to guide player recruitment for pro clubs. Requires 3+ years in Python or R, SQL, and sports tracking data experience.
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Until further notice
Data Scientist - II
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Research and Innovation Scientist II (Remote in the USA)
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80000.00 - 100000.00 USD / Year
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Data Scientist II
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About the Scientist II role

A Scientist II role represents a pivotal mid-level position in the research and development lifecycle, bridging the gap between foundational research and practical, scalable applications. Professionals in these jobs are typically experienced scientists who operate with a high degree of autonomy, leading complex projects that require deep technical expertise and innovative problem-solving. The core of this profession lies in the design, execution, and validation of experiments or algorithms that drive product innovation, whether in biotechnology, pharmaceuticals, or advanced technology sectors.

Individuals in Scientist II jobs are responsible for developing and optimizing sophisticated methodologies. In a laboratory setting, this often involves planning and performing complex analytical testing, such as method development, validation, and technology transfer for regulatory submissions. They are expected to be proficient in a range of advanced techniques relevant to their field, from chromatography and spectroscopy to cell-based assays. Crucially, they must operate under strict quality and regulatory guidelines, such as Good Laboratory Practice (GLP) and Good Documentation Practice (GDP), ensuring all data is accurate, traceable, and compliant. Responsibilities frequently include authoring and reviewing technical reports, standard operating procedures (SOPs), and stability programs, as well as troubleshooting instrumentation and investigating deviations or out-of-specification results.

In computational or data-driven fields, Scientist II jobs focus on building and deploying advanced models. This includes researching and implementing state-of-the-art methods in machine learning, deep learning, and computer vision. These scientists design robust data pipelines, develop algorithms for pattern detection or image analysis, and collaborate closely with engineering and product teams to transition prototypes into production-ready systems. They are expected to contribute to intellectual property through patents and publications at top-tier conferences.

The typical requirements for Scientist II jobs include an advanced degree—a Master’s or PhD—in a relevant scientific or engineering discipline, combined with several years of applied experience. Essential skills include advanced programming (Python, MATLAB, Java, or C++), strong analytical and statistical reasoning, and excellent written and verbal communication for cross-functional collaboration. These professionals must demonstrate a proven ability to work independently, manage complex timelines, and solve ambiguous problems. Ultimately, Scientist II jobs are for those who thrive on turning scientific inquiry into tangible, impactful solutions, driving innovation from concept through to execution.