Data Scientist Level V

4 weeks ago

San Jose, California, United States ACL Digital Full time
Job Title: Data Scientist Level V

Job Summary:

We are seeking a highly skilled Data Scientist to join our team at ACL Digital. As a Data Scientist, you will be responsible for developing and maintaining client models through the full model development lifespan, from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.

Key Responsibilities:

* Develop and maintain client models using scientific computing languages and big data knowledge, including Python, SQL, Hive, Hadoop, Spark, etc.
* Experience with common machine learning algorithms, such as SVM, KNN, logistic regression, random forest, XGBoost, Neural Networks, etc.
* Develop skills in the application of scientific methods to practical problems through exploratory data analysis, hypothesis testing, and data visualization to reach robust conclusions.
* Understanding of statistical probability distributions, bias, error, and power, as well as sampling and resampling methods.
* Expertise in the manipulation, integration, processing, and interrogation of large datasets.
* Maintain data quality and support data access.
* Experience with source control tools, such as GitHub, and related CI/CD processes.

Requirements:

* 10+ years of experience in data science and machine learning.
* Strong experience in building client models.
* Hadoop experience.
* Experience working with security data and fraud detection.
* Dealt with a significant amount of streaming data.

Preferred Skills:

* Experience in generative AI.
* Experience in security software development.
* Experience in real-time data processing.

What We Offer:

* Competitive salary and benefits package.
* Opportunity to work with a talented team of data scientists and engineers.
* Professional development and growth opportunities.

How to Apply:

If you are a motivated and experienced data scientist looking for a new challenge, please submit your resume and a cover letter explaining why you are the ideal candidate for this role.

Day-to-Day Responsibilities:

* Develop and maintain client models through the full model development lifespan.
* Develop skills in the application of scientific methods to practical problems.
* Maintain data quality and support data access.
* Experience with source control tools, such as GitHub, and related CI/CD processes.

Required Skills:

* Experience with scientific computing languages and big data knowledge, including Python, SQL, Hive, Hadoop, Spark, etc.
* Experience with common machine learning algorithms, such as SVM, KNN, logistic regression, random forest, XGBoost, Neural Networks, etc.
* Understanding of statistical probability distributions, bias, error, and power, as well as sampling and resampling methods.
* Expertise in the manipulation, integration, processing, and interrogation of large datasets.
* Maintain data quality and support data access.
* Experience with source control tools, such as GitHub, and related CI/CD processes.

Better to Have or Willing to Learn:

* Leverage data to inform strategic directions of safety signal development, aid in incident response, automate detection and enforcement, and provide intelligence on ecosystems.
* Operationalize and evolve Threat Detections metrics that measure the impact of our targeted enforcement.
* Feel comfortable with analyzing and telling stories of security, audit, and network data, and understand the context of monitor systems and threat detection.
* Disseminate intelligence gathered to other safety stakeholders and executive decision makers.

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