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Work with global data exceeding 50 million HTTP requests per second, utilizing a tech stack that includes Go, Python, JavaScript, Rust, Lua, Kafka, Kubernetes, ClickHouse, PostgreSQL, and Jupyter notebook.
$137,000 - $198,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Eight (8) or more years of experience in the following: Java, JavaScript/Typescript, Python, Angular, ELK stack, Redis, Web Services (REST), Machine Learning, Data Analytics, Android development, NoSQL and SQL databases, Xmidas, Digital Signal Processing.
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Data Intelligence, LLC (DI) is searching for a full time Integration Engineer III to support its ASRC Mission Solutions effort in Moorestown, NJ. This is an on-site position. Experience in scripting in Bash, shell, Python, or Perl a plus.
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Communication, collaboration, unstructured problem solving and client management (in a high performing and high intensity team environment): Lead multiple client engagement teams to design and execute solution setup (right data science algorithm, data modelling setup, design success metrics/KPIs and stakeholder management) in sustainable and profitable manner; drive value and client impact; identify new use cases; proactive in approach.
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Our mission involves owning and innovating in Datadog-flavored GRPC libraries across supported languages (Python, Go, Java), Envoy service mesh sidecars, and authentication and authorization systems for service-to-service communication.
$187,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data.
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Research topics may include, but are not limited to the following:Geophysical signal processing, including detection, characterization, and associationMachine learning/artificial intelligence applications to geophysical problemsNumerical modeling from source to sensorData collection and response modeling for sensor improvementGeneral data analyticsSome positions may involve collecting data in a laboratory and/or fieldwork setting.
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Work Experience: Programming languages including Python and SQL; Data visualization, including Tableau; Statistical analysis; and Data manipulation, including data pre-processing and data cleaning.
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Experience working with columnar, analytical cloud data warehouse like BigQuery, Snowflake, Redshift. 5+ years of experience as a Software Engineer with excellent knowledge of programming languages, especially SQL, Scala, Kotlin and Python.
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Hands-on experience using data analytics and optimization tools (i.e., SQL, Python, R, Gourbi, Vertex AI). 4+ years of relevant experience in data science and/or a quantitative field, including 3+ years of applied or industry experience.
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A track record of managing the "exploration vs exploitation" tradeoff to deliver innovative solutions for first-of-a-kind problems Deep expertise in Python, data-centric AI (ML) techniques, particularly as applied to text, tables, documents.
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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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Experience with predictive modeling in SAS, Python, R or other. Experience working in SQL, Alteryx or other data management and Business Intelligence tools. Bachelor's Degree preferably in Computer Science, Information Technology, Computer Engineering, Finance, Economics, Math or related IT discipline; or equivalent experience.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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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).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
How To Make $100K a Year – No BS Strategies & Advice
If you’re like most of us, you’d love to be wealthier. Having more money would alleviate stress. It would make it easier to pay your bills and buy nicer things. Maybe it’d allow you to spend more time with your kids and go on more vacations. You’re not alone if you wish you could somehow earn a more significant income.