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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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Use SAS, R, Python, Excel or equivalents to perform data analysis such as hypothesis testing, sampling, and classification. Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies are a plus. 3-5 years of hands-on experience working with SQL, NoSQL database systems, data warehouses, and streaming solutions.
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Experience leading end-to-end data science project implementation. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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We are open to hiring candidates to work out of one of the following locations:New York, NY, USABASIC QUALIFICATIONS- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.
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Quantitative skills including experience with SAS, Stata, Python, R, Power BI, or SQL preferred. A&Ms team is comprised of experienced computer forensics, eDiscovery, data science, cybersecurity and privacy professionals and experts who come from the worlds largest law firms, professional services firms, leading forensic technology firms, Fortune 500 corporations, and law enforcement/government agencies.
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Citibank, N.A. seeks a Data Science Lead Analyst for its Jersey City, New Jersey location. Use data analytics and statistical analysis to develop and assess customer risk scoring methodology, monitor trending of risk distribution, and design testing scenarios to ensure that logics are implemented correctly in relevant Anti Money Laundering (AML) and Know Your Customer (KYC) applications.
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Rather than blandly reporting a fact (let’s call it “X”), you quite naturally go digging, with genuine interest, and enthusiastically report, “I noticed X and queried the data set three different ways and found out Y.” You’re totally in your element mucking about in Excel, SQL, Python, R, SAS, Tableau and other such tools.
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Java/Python, SAS, R)Experience with relational database systems like SQL Server, Amazon Redshift, Oracle, Big Query, etc. Familiarity with business value and use cases of data science concepts such as artificial intelligence and machine learning.
$158,130 - $260,940ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Exceptional programming ability in SAS, SQL, R, Python or other programming languages. The Lead Data Scientist takes a lead role in assigned data science initiatives with limited supervision.
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Experience with SQL and programming languages (e.g., Java/Python, SAS, R) Bachelor’s degree (or equivalent) in statistics, mathematics, computer science, data science or a related discipline.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced SQL programming skills, experience with big data technologies, and modern data visualization tools.
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8+ years of hands-on coding experience in Python, R, SAS, SQL or other data analytics tools in life science. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, digital analytics, finance, market research, and consulting.
$191,300 - $318,800 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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4+ years experience in Analytics, Data Science, Digital Analytics, or eCommerce Analytics. You'll get lead the delivery of customer-centric, data-driven solutions before they walk in the door, after they purchase, and every step in between.
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data science sas sql jobs in Jersey City, NJ
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