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The Director of Data Science will lead a team of highly talented and innovative data scientist in support of developing cutting edge data and analytics products to support decision sciences across all retail functions and brands.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Job Title: Principal Data Scientist, Enterprise Advanced Data Science - FinanceJob Summary: Finance is of paramount importance to McKesson. Education:MS or PhD in data science or related fieldPhysical Requirements: General Office DemandsWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards.
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In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities – leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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The successful candidate will drive our retail strategy and offering through data-driven insights and recommendations alongside the data science and data analytics team. A BA/BS in appropriate discipline such as analytics, statistics, mathematics, computer science, (recognized internationally) (MA/MS preferred but not required.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience gained through college degree programs and/or certifications in Information Systems, Computer Science, Data Architecture, Data Engineering, Modeling, etc. Expertise with Master Data Management (MDM) concept, tools and practices.
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Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or a related field. Minimum of 5 years of experience in data visualization with a strong portfolio showcasing expertise in Power BI. Proficiency in SQL and experience with scripting languages such as Python or R for data manipulation.
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Requirements: Master’s degree (or foreign equivalent) in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Analytics, Civil Engineering or a related field and two (2) years of experience in the job offered or related occupation.
$154,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Reports to: VP Data Science. The AVP will also lead and guide the data science team with modeling expertise in forecasting, optimization, data mining, analysis and analyzing complex datasets; lead and guide in the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; and lead and guide in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled and experienced data scientist to join our Data Science team which supports Power Generation and Commercial/Wholesale. Data science is becoming increasingly important in power industry, where the ability to quickly analyze large amounts of data can provide a significant competitive advantage.
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Job Title: Principal Data Scientist, Enterprise Advanced Data Science - Finance. MS or PhD in data science or related field. Lead the development of robust, scalable data science solution(s) leveraging in-development and future data products such as FDP.
$302,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience in AWS Cloud services including building and implementing server and serverless data engineering, data science, and analytics infrastructure. Preferred 5+ years of experience in a data focused role including ETL, querying data with SQL, data modeling, data collection, data analysis, and data science.
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Education: Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent. Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience.
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We are currently seeking a Data Engineer for our client in the Retail domain. Must be a strong senior level data engineer with experience working with enterprise data team. Role Description: As a Data Engineer , you must have at least 8+ years of experience.
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science job Title: data in Irving, Niles, Illinois
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The Best Remote Jobs: Where & How to Find Them
The Covid-19 pandemic hasn’t been easy on any of us, but if there’s one silver lining, it’s the fact that remote work has grown in popularity because of it. Companies that previously weren’t open to their employees working remotely were suddenly forced into allowing it. Since then, they've realized that much of their workforce is happier and more productive. Naturally, this has led to more remote job openings, which is great if you’re interested in this type of position. Read on to learn more about the best remote jobs and where to find them.
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First impressions can be tricky. When meeting someone in person, it’s likely you have an elevator speech. These short, practiced introductions can help you share more about who you are, what you do for work and other facts about you. While this works well in a live, in-person context, there are many cases where professionals “meet” someone via written form - like social media, a resume, or published work. In these cases, your bio works as your first impression. So, here’s a step-by-step guide on how to write a short bio.
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In a world where the smallest mistake can cost your business tens of thousands in lost revenue, your talent is key to keeping your edge on the market and driving growth. However, managing a workforce of any size can be a challenge. Employees come with their own particular skill set, ambitions and flaws. So, it can be difficult to uncover their individual drivers. Not to mention the challenges brought on by the hybrid and remote working models where in-person interactions have become few and far between.
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Learning to recruit passive candidates is a different ballgame than recruiting active ones. While an active candidate is someone who is currently looking for a new job, a passive candidate tends to be the opposite. Passive candidates are either already working or not looking to work. So, instead of these candidates coming to you, you'll have to find them and reach out to them first.
How to Effectively Recruit Employees
Today, hiring and retaining talent looks much different than it did only two or three years ago. Financial instability and the strain on our mental health brought on by the pandemic has made everyone more wary and selective of their workplace and employer. Whereas in the past people might have prioritized promotions and financial reward, today they look at other factors such as workplace flexibility, personal fulfillment and values alignment.
How Many Hours is Part-Time vs. Full-Time Work?
Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.
How to Make a Job Offer More Competitive
Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.