North Star Staffing Solutions
Job Description: Sr Data Scientist
Job Description
Our client is seeking a senior data scientist for a first-of-its-kind sales analytics platform, combining a proprietary, active-learning network with applications that are ready to use, data-backed, and built on predictive analyses. The ideal candidate will have a strong computational background, a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and the ability to find meaning in multiple imperfect, mixed, varied, and inconsistent data sets. The candidate must be a team player who thrives in a collaborative environment and is driven to create innovative, world-class products. Qualifications
Requirements include: Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master’s degree required, PhD preferred) 6+ years of experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms Ability to aggregate, normalize, and process data by authoring predictive algorithms to synthesize and present actionable data insights Technical mastery in one or more languages/tools: Python, R, Matlab, Spotfire, Tableau Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, MapReduce, PIG, HIVE, Python (NumPy, SciPy, scikit-learn), and machine learning suites Experience with cloud computing and Hadoop Experience with third-party API integration Strong communication skills Additional Information
If you meet the requirements, we encourage you to apply. Our company is an equal opportunities employer and welcomes applications from diverse candidates.
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Our client is seeking a senior data scientist for a first-of-its-kind sales analytics platform, combining a proprietary, active-learning network with applications that are ready to use, data-backed, and built on predictive analyses. The ideal candidate will have a strong computational background, a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and the ability to find meaning in multiple imperfect, mixed, varied, and inconsistent data sets. The candidate must be a team player who thrives in a collaborative environment and is driven to create innovative, world-class products. Qualifications
Requirements include: Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master’s degree required, PhD preferred) 6+ years of experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms Ability to aggregate, normalize, and process data by authoring predictive algorithms to synthesize and present actionable data insights Technical mastery in one or more languages/tools: Python, R, Matlab, Spotfire, Tableau Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, MapReduce, PIG, HIVE, Python (NumPy, SciPy, scikit-learn), and machine learning suites Experience with cloud computing and Hadoop Experience with third-party API integration Strong communication skills Additional Information
If you meet the requirements, we encourage you to apply. Our company is an equal opportunities employer and welcomes applications from diverse candidates.
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