DATA
SCIENTIST
Job Title: Data Scientist
Company: SMART AUTOMATED RETAIL & ROBOTS (SARR)
Location: Tampa, Florida
About SMART AUTOMATED RETAIL & ROBOTS (SARR):
At SARR, we are dedicated to creating cutting-edge automated retail and robotic solutions for various industries. Our mission is to revolutionize the way people shop and interact with technology, by providing seamless, efficient, and innovative solutions. Join our dynamic team of creative professionals as we continue to redefine the future of retail and robotics.
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​We are currently seeking a talented and experienced Data Scientist to join our team in Tampa, Florida. The successful candidate will play a key role in analyzing and interpreting complex data sets to drive innovation and optimize our automated retail systems and robotic products. As a Data Scientist at SARR, you will have the opportunity to make a significant impact on our technology and contribute to the continued success of our organization.
LOCATION
Tampa
EMPLOYMENT TYPE
Permanent
What You’ll Do
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Analyze large, complex data sets to identify trends, patterns, and insights that can drive improvements in our automated retail systems and robotic products.
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Collaborate with cross-functional teams, including engineering, product management, and marketing, to translate data-driven insights into actionable recommendations.
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Develop and maintain data visualization tools and dashboards to communicate results and insights to stakeholders.
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​Stay up-to-date on the latest industry trends and developments in data science and machine learning.
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Develop, implement, and maintain machine learning models and algorithms to optimize performance and enhance the user experience.
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Design and implement data collection processes, ensuring data quality and integrity.
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Continuously explore and implement new tools, technologies, and methodologies to improve our data analytics capabilities.
Who You are
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Collaborate with cross-functional teams, including engineering, product management, and marketing, to translate data-driven insights into actionable recommendations.
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Design and implement data collection processes, ensuring data quality and integrity.
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Strong proficiency in Python, R, or other programming languages used in data analysis.
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Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, or PyTorch.
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Knowledge of various data storage and processing technologies, such as SQL, NoSQL, Hadoop, and Spark.
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Familiarity with data visualization tools, such as Tableau, Power BI, or D3.js.
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Excellent problem-solving, analytical, and communication skills.
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Strong attention to detail and the ability to manage multiple projects simultaneously.
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Analyze large, complex data sets to identify trends, patterns, and insights that can drive improvements in our automated retail systems and robotic products.
-
Develop, implement, and maintain machine learning models and algorithms to optimize performance and enhance the user experience.
-
Develop and maintain data visualization tools and dashboards to communicate results and insights to stakeholders.
-
Continuously explore and implement new tools, technologies, and methodologies to improve our data analytics capabilities.
-
Stay up-to-date on the latest industry trends and developments in data science and machine learning.
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Bachelor's degree in Computer Science, Data Science, Statistics, or a related field (Master's degree or higher preferred).
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A minimum of 3 years of experience in data science, machine learning, or a related field.