UNFCU · 2 days ago

Data Scientist

New York, United States

Full-time

Onsite

Mid Level

$91K/yr - $130K/yr

3+ years exp

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AccountingFinance

Insider Connection @UNFCU

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Responsibilities

Understand business objectives and formulate problems into data science problems, analyzing large amounts of information to find patterns and solutions

Design, train, and deliver data science solutions using various modalities and sizes of data

Explore data and communicate insights clearly to both technical and non-technical audiences

Analyze experimental results, refine models, and create significant business impact

Data mine or extract usable data from valuable sources

Use machine learning tools to select features, create, and optimize classifiers

Carry out preprocessing of structured and unstructured data

Qualification

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PythonData manipulationNumpyPandasMachine learningDeep learningScikit-learnStatsmodelsTensorflowKerasPytorchStatistical skillsStatistical testsDistributionsRegressionMaximum likelihood estimatorsData processingModeling pipelinesStatistical forecastingArimaProphetTime series forecastingLinear regressionGradient boosted decision treesRandom forestCloud platformsGcpAwsAzureDeploying models

Required

Bachelor's degree in a quantitative discipline and at least 3 years of data science experience in the financial domain

Python Programming language for Data Scientist; expert skills in manipulating data frames using Pandas and arrays using Numpy

Familiarity with Python standard machine learning and Deep Learning libraries (like scikit-learn, StatsModels, tensor flow, Keras and Pytorch)

Solid applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.

Ability to develop and maintain robust data processing pipelines and reproducible modelling pipelines

In-depth understanding of classical statistical forecasting algorithms like ARIMA, Prophet, etc.

Proven experience in handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.

Experience with any of the cloud platforms like GCP, AWS or Azure

Experience deploying custom ML models on existing platforms like Salesforce

Excellent verbal and written communication skills

Demonstrate agility, flexibility, and show a willingness to learn new tools and technology