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Data Scientist

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Softstandard Solutions

2021-12-03 09:06:53

Job location Los Angeles, California, United States

Job type: fulltime

Job industry: Science & Technology

Job description

Responsibilities

* Analyze raw data: assessing quality, cleansing, structuring for downstream processing
* Design accurate and scalable prediction algorithms.
* Collaborate with engineering team to bring analytical prototypes to production.
* Generate actionable insights for business improvements.
* Participate and lead, multifaceted analytic studies on large volumes of data.
* Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
* Experiment against data points, provide insights based on experiment results and provide previously undiscovered solutions to command data challenges using a multitude of techniques e.g., exploratory mathematical and statistical techniques to NLP, vision, process mining, etc.
* Work with the Principal data scientist and participate in all the data experiments tasked by the Data Science Team.
* Analyze problems and determine root causes.
* Work closely with engineering teams to develop a strategy for long term data platform architecture.
* Be a hands-on practitioner (not just analyze but also actively contribute to the platform)

Requirements

* Master's or Ph.D. in Computer Science, Process Mining, Statistics, Applied Math, Operational research, AI, or related field
* Overall 5+ years of experience. 3+ years' practical experience with data processing and analytics
* Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
* Fluency in a programming language (Python, C,C++, Java, SQL)
* Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
* Experience and Understanding of Data quality, Features, Aspects of ML Models, ML pipeline/infrastructure.
* Able to understand various data structures and common methods in data transformation
* Excellent problem solving and debugging skills
* Excited to experiment with new technologies and approaches
* Experience in handling disparate data sources in a multitude of forms (e.g., event data, text, image, graphs, etc.) is desirable
* Experience in handling event streams and processing them.
* Experience in building scalable solutions (optimizations) is desirable.
* Added pluses: Experience/familiarity in process mining; experience/familiarity with OCR.

Benefits

* Insurance
* Interview support and project support ( if required )
* Training And Placement

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