Senior Data Scientist
At Simplify Healthcare AI™, we are focused on building industry-focused AI models. We are seeking a highly skilled and passionate Senior Data Scientist to join our dynamic team. In this role, you will be at the forefront of designing, developing, and implementing advanced machine-learning models that will have a direct impact on our products and offerings.
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Data Preprocessing: Organize, categorize, and prep data for processing. Identify incomplete, incorrect, inaccurate or irrelevant portions of data and interpret, cleanse or replace/delete them as needed.
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Advanced Data Analysis: Utilize advanced statistical techniques to analyze complex, large sets of data, and extract actionable insights that will help drive decision-making processes across various functions of the business.
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Model Development: Develop, refine, and implement machine learning algorithms and statistical models that will help create data-driven solutions to business problems. Also responsible for validating and testing these models to ensure accuracy.
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Collaboration: Work closely with the team of engineers and product designers to understand technical and business requirements, convert these to analytic solutions, and integrate them into our product suite.
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Insight-Driven Business Decisions: Utilize and translate complex results from the data analyses and models into strategic recommendations for both technical and non-technical stakeholders.
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Presentations: Represent the data science team in cross-functional teams to ensure correct and impactful data science principles are incorporated. Effectively present complex statistical concepts and results, as well as their implications, to a non-technical audience.
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Mentoring and Leadership: Provide mentorship and guidance to junior data scientists in the team, educate them on best practices, and guide them in their career paths.
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Minimum of 5 (Five) years of working experience as a data scientist.
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Strong knowledge of machine learning models, data mining, and databases.
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Experience with programming languages such as Python, SQL, etc.
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Knowledge of distributed data/computing tools like MapReduce, Hadoop, Hive, and Spark.
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Exceptional problem-solving skills, attention to detail, and a team player.
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Strong communication skills, with the ability to present complex technical findings to non-technical stakeholders.
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Experience in mentoring junior data scientists or leading a data science team is preferred.