Sr. Data Scientist

Compensation

: $115,435.00 - $200,310.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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The Data Scientist- AI/Machine Learning role is responsible for understanding data, machine learning and incorporating it within our product. Position Responsibilities: Support the product development teams during all phases of the application lifecycle, functioning as a subject matter expert for all things data and data-access related. Identify opportunities and offer recommendations about process and technology optimizations. Partner with members of business and technology teams in research, scoping, design, execution, and optimization. Embrace, support and extend standards and guidelines pertaining to data and data access. Share a passion for your role with all, and demonstrate a focus on continuous improvement. Position Qualifications: Python, Tensorflow framework, Scikit-Learn toolkit, Scala, R or other machine learning disciplines. Knowledge of traditional RDMS or non-SQL database server ecosystem in highly available, performant and secure configurations. Experience in database, programming and scripting tools: T-SQL, JavaScript, Exposure to MongoDB, Cassandra and/or other document or non-sql data stores. Stream processing and integration with messaging platforms like Kafka or IBM MQ. Experience with machine based algorithms and different types of distributions, Outlier detection, random forest, isolation forest, Gaussian process, etc. Familiarity with modern software development practices, processes, and tools. Prior exposure to multi-tenant data architectures, with a focus on optimizing for large-scale data sets (multi-terabyte tables). Understanding of scalability options at the data tier, including partitioning and sharding scenarios. DICESP - provided by Dice
Associated topics: data center, data engineer, data integration, data quality, data warehouse, data warehousing, database, database administrator, erp, teradata * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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