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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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Degree in Law, Political Science, International Relations, Data Science, Journalism, Anthropology or related field. ● 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.
$55,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data Science and Machine Learning experience. This role will be responsible for supporting the global AML Seller Risk Rating (ARR) methodology and Know Your Customer (KYC) data analytics.
$135,200 - $205,700 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The team brings together a good mix of capabilities in intelligence technology, quantitative modeling, data science, financial engineering, and software engineering. Data Science and Machine Learning Frameworks Apache Spark / MLlib, TensorFlow, Scikit-learn, etc.
$100,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Various disciplines are involved in Enterprise Data & Analytics, including data source identification and analysis, data engineering, data visualization, and data science/machine learning.
$65,000 - $87,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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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Bachelor’s degree in computer science, Information Systems, Data Science, or a related field, and 3+ years of experience in BI development with a focus on Power BI within a large-scale organization.
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Graduate degree in computer Science or related field with five years of professional experience as an ETL Developer utilizing Informatica, IBM DataStage, SQL, PL/SQL, and Python. Develop ETL programs for complex dimensional data models within modern data platforms such as AWS Aurora Postgres, Snowflake, etc.
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A track record of managing a globally distributed, multi-discipline Data team, with experience overseeing Data Science, Data Engineering, and Machine Learning. As the Director of Data Engineering at SEON, you will be responsible for the ownership and optimization of the technology teams responsible for Data Engineering, Data Science, Business Intelligence, & our AI/ML technology stack.
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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.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. Background in data science, mathematics, actuarial science, or engineering.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Lead, mentor, and develop a team of data scientists and machine learning engineers. Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
$159,200 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
data science jobs Title: data lead quantitative analyst in Austin, TX
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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.