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Translating technical analyses in core areas of data science into recommendations for programs and policies. Reviewing and providing guidance on strengthening the choice of indicators and associated measurement concerns, clarify the definitions of the indicators in collaboration with relevant staff, and review the data collection and data analytics systems currently in place.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Perform statistical analysis and data mining to create predictive systems. Some experience as a Data Scientist or advanced analytical role. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you.
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PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Familiarity with CI/CD tools (GitHub,Jenkins, UCD) and data storage solutions (PostgreSQL, MS SQL, AmazonRDS/Aurora, Databricks, Snowflake). As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc. Degree must be earned in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.
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As a valued member in our data scientist team, you’ll be responsible for building and evaluating simulations of millions of miles of autonomous driving using the most advanced cloud technologies, in-house simulation frameworks, and data modeling tools.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Data Consultant 3. Bachelor’s Degree or four years of experience in policy analysis, public affairs, data management, data analytics, math or statistics or a related field. Coordinate and communicate across the Multifamily Housing and Community Facilities division and Asset Management and Compliance division on data needs and findings.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Skills: Solution Architect, Business Intelligence, Snowflake, Redshift, Collibra, Informatica Enterprise Data Catalog, Data Governance, SQL, Python, AWS RDS, MongoDB, PaaS, SaaS. The Solution Architect will work closely with data engineering, data product managers and data science teams to meet data requirements of Data Cataloging initiative at Hyatt.
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Title: data Company: Fulton Public Schools
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Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
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.