Senior Data Scientist @ System One | Jobright.ai
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System One · 2 days ago

Senior Data Scientist

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Responsibilities

Support the delivery of strategic advanced analytics solutions across the organization
Leverage modern technologies like Python, R, and Spark to analyze large datasets
Manage, architect, and analyze big data to build data-driven insights and high-impact data models
Evaluate model design and performance, and perform champion/challenger development
Analyze current and historical data to make predictions and identify risks and opportunities
Provide analytics insights and solutions to solve complex business problems
Collaborate with team members and subject matter experts to deliver strategic advanced analytic-based solutions
Transform data into a format useful for effective decision-making
Act as a point of contact between data analysts/data engineers and project/functional analytics leads
Identify improvements to the analytics process and recognize potential issues during project implementation
Prepare project deliverables valued by the business and present them in an easily understood manner
Assess the overall fit/suitability of new and existing models with their intended use and purpose

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data visualizationData storytellingTechnical writingAnalytics modelingClassificationRegressionTime seriesClusteringText analyticsOptimizationReinforcement learningDimension reductionNatural language processingSentiment analysisAnomaly detectionGeospatial analyticsData miningData wranglingData transformationData interpretationQualitative analysisQuantitative analysisPythonR programmingSqlCloud computingApache sparkAzure data factoryAzure devopsAzure ml

Required

Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field, or the equivalent combination of education, training and experience
Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner
Advanced skill in communicating actionable insights using data to technical and non-technical audiences
Significant experience working in a dynamic, research-oriented groups with several ongoing concurrent projects
Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau
Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually
Advanced storytelling with data skills
Exceptional technical writing skills
Advanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
Significant experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
Demonstrates a deep understanding of the modeling lifecycle
Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
Advanced skill in Python and R
Advanced skill in SQL and querying (able to pull/transform your own data)
Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
Familiar with Data Engineering concepts
Familiar with the use of standard ETL tools and techniques
Familiar with the concepts and application of data mapping and building requirements
Demonstrates a deep understanding of multiple data related concepts
Familiar with Data Integration, Data Governance and Data Warehousing
Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis

Benefits

Medical
Dental
Vision
Life Insurance
401(k) Plan

Company

System One

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System One is a professional staffing firms.

H1B Sponsorship

System One has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (5)
2022 (5)
2021 (15)
2020 (15)

Funding

Current Stage
Late Stage
Total Funding
$301.8M
Key Investors
TruistOaktree Capital ManagementProspect Capital Corporation
2021-01-28Debt Financing· $290M
2020-12-08Private Equity· Undisclosed
2016-09-20Acquired· by THL

Leadership Team

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Troy Gregory
Chief Executive Officer
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Dan Moran
Chief Financial Officer
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Company data provided by crunchbase
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