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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Graduate degree, or working towards completion of a graduate degree, from an accredited college or university with major coursework in Meteorology, Atmospheric Science, Hydrology, Scientific Computing, Civil Engineering, or related field.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Data Science Analyst (Senior) | 6-8 Years | Data Science - Python, Data Modeling. - Experience with Google Cloud Platform (GCP) technologies is a plus.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Knowledge of basic analog blocks: Linear and Switching voltage regulators, DAC, ADC, comparators, oscillators, high speed clock circuits Strong knowledge in Matlab, Verilog-A, Verilog and SystemVerilog Cadence's custom IC design environment with special emphasis on Virtuoso schematic/layout design entry tools Analog/mixed signal circuit simulators, specifically Hspice, Spectre, SpectreRF Good experience in Synopsys based mixed-signal co-simulation flow Scripting: C, python, perl, csh.
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You will design, develop and automate secure, robust, and high-performing data platform solutions to drive CAIS business growth using Python, Kotlin, Snowflake, DBT and Kubernetes. We are looking to hire a Senior Data Engineer into our technology team.
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The ideal candidate will have a degree in political science, data science, international relations, journalism, digital media or a related field, or have a technical or advanced degree such as a PhD.
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QUALIFICATIONS- EDUCATION - H.S. Diploma/GED Equivalent- EXPERIENCE - Less than 1 Year of Experience- CERTIFICATION/LICENSE/REGISTRATION - American Reg MRI Tech (ARMRIT), ARRT-MR Magnetic Res Imaging (ARRT-MR), ARRT-R Radiography (ARRT-R): Certified by the American Registry of Radiologic Technologists in Magnetic Resonance Imaging ARRT(MR) or Radiography ARRT(R) or American Registry of Magnetic Resonance Imaging Technologist (ARMRIT.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Familiarity with data analytics concepts and tools such as Power BI, Tableau, SAP BW/BPC/SAC.Experience with R&D project tracking and budgeting is a plus. Manage multi-currency configurations and understand diverse manufacturing processes, including MTS, MTO, ATO, and ETO.Integrate SAP Opportunity/Quote Management and Configuration/Pricing applications such as CRM, VC, C4C, and CPQ.Utilize data analytics tools like Power BI, Tableau, and SAP BW/BPC/SAC to support decision-making processes.
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This is a full-time Image Data Engineer position in Cleveland, OH, with potential flexibility for remote work. It is a hybrid of R&D and product development. We integrate hardware and software to generate vivid and comprehensive 3D visualizations of clinically relevant objects, as small as a cell and as big as your body.
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Serves as a data warehouse expert, specifically Clarity and Caboodle, consultant within the CommUnityCare. Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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big data science a plus r python jobs Company: Endeavor in Austin, TX
FEATURED BLOG POSTS
Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).