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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Phenomenal data visualization and analysis skills with expertise in tools such as Looker, Tableau, Power BI, Seaborne, etc. Tell compelling stories that use the data – and data visualization - to compel the audience with the power of the insight.
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Knowledge of Tableau data visualization software, GIS, or advanced statistical software (SPSS, R, STATA, etc.) Design data collection instruments (surveys, focus group protocols, interactive activities, etc.
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Prior experience in Systems Engineering - you've built meaningful big data processing systems at scale, and experience with big data compute engines such as Apache Spark and Apache Flink.
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Familiarity with data management and visualization tools and collaborating with computational biology to analyze complex data sets emerging from clinical trials. Manage the design, conduct, interpretation and reporting of biomarker data/activities for pipeline assets in line with the development, regulatory and commercial strategies.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Collaborating with finance, product, data engineering, data science, and business teams, this position will act as a subject matter expert for all facets of subscriber growth and churn data for Disney+, ESPN+, Star+, and Hulu. This expertise will manifest in the design and implementation of core subscriber data models that enable internal clients to explore, analyze, and monitor data.
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Use the latest data engineering technologies and techniques to solve engineering problems at petabyte-scale. 7+ years of data engineering experience building scalable, flexible, and always-on data pipelines.
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Experience with AWS cloud services used often for data engineering including S3, EC2, Glue, Lambda, RDS, or Redshift. We are looking for a candidate with 8+ years of experience in a Data Engineering role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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For modeling diverse biological data types across multiple scales (cell, tissue, organism) in collaboration with interdisciplinary teams in a hybrid scientific and engineering culture. Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Familiarity with data analytics and visualization tools for extracting insights from historical data stored in Proficy Historian. Experience in designing and developing custom connectors and adapters for data exchange between Proficy Historian and OSI PI.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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Support the Senior Program Officer in tracking and analyzing key economic development data for communications and funder reports. Additional fundraising support as part of programmatic work may include tracking data for funder reports.
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The Temporary Master Data and Implementation Specialist role is responsible for the accuracy, integrity, and timeliness of master data in OLLY’s ERP system Microsoft Navision. Prior experience with supply chain master data, supply planning, or finance is strongly preferred.
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data mining engineering visualization jobs Title: data analyst Company: Keylent Inc in San Francisco, CA
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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?
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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.
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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.
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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).