Data Scientist at Smartronix in Tampa, FL
Essential Duties and Responsibilities Work closely with business customers to translate their needs or challenges into predictive and prescriptive analytics solutions Collaborate closely with IT to build required data pipelines for productional zed and scalable predictive and prescriptive analytics solutions Conduct exploratory data analysis and create compelling visualizations using complex and high-dimensional datasets Identify suitable machine learning or statistical approaches depending on type of problem and train models for optimal performance, including hyperparameter tuning Deploy models into production with assistance from Product Engineers Validate and monitor models to ensure consistent performance and avoid performance degradation Lead technical and analytics capability building within the analytics team in order to stay current on best practices and new modeling techniques Lead team of more junior data scientist, including managing workloads, creating and implementing common modeling standards and practices, and providing mentorship, support and expertise Responsible for generating and maximizing value from analytics solutions Required Skills Required clearance:
Top Secret/SCI Expertise in analytics tools including R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus) Proficiency in AWS:
Redshift, S3, SageMaker. Hands-on experience in Python Expertise in the analysis and interpretation of data including the understanding of mathematical and statistical concepts. Proficiency in exploratory data analysis and interpreting data. Expertise with statistical modeling or basic machine learning algorithms. Knowledge of SQL. Proven background working with Hadoop or Hive, or similar. Expertise working with cloud technologies such as AWS, Kafka, Spark, Storm, or Hadoop Expertise with the following types of data science techniques:
Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning. Required Experience Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operations Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree required. Advanced degree in Computer Science or other quantitative field preferred. 8
years of experience in analytics space with proven track record of innovation as a forerunner
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Top Secret/SCI Expertise in analytics tools including R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus) Proficiency in AWS:
Redshift, S3, SageMaker. Hands-on experience in Python Expertise in the analysis and interpretation of data including the understanding of mathematical and statistical concepts. Proficiency in exploratory data analysis and interpreting data. Expertise with statistical modeling or basic machine learning algorithms. Knowledge of SQL. Proven background working with Hadoop or Hive, or similar. Expertise working with cloud technologies such as AWS, Kafka, Spark, Storm, or Hadoop Expertise with the following types of data science techniques:
Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning. Required Experience Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operations Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree required. Advanced degree in Computer Science or other quantitative field preferred. 8
years of experience in analytics space with proven track record of innovation as a forerunner
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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