Trellix is a global company redefining the future of cybersecurity and soulful work. The companys comprehensive, open and native cybersecurity platform helps organizations confronted by todays most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at https://trellix.com . Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team's use cases include but are not limited to threatattack detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 5 years of industry experience in one or more machine/deep learning frameworks 4-5 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field 5 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Support for Community Involvement We're serious about our commitment to diversity which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. J-18808-Ljbffr

Trellix is a global company redefining the future of cybersecurity and soulful work. The company’s comprehensive, open and native cybersecurity platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at <a >trellix.com </a>. <h3>Role Overview: </h3>We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. <h3>What You Will Do: </h3><ol><li>Work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. </li><li>Execute data science projects in collaboration with other Senior Data Scientists in the team. </li><li>Identify issues with models running in production and resolve them, which may require retraining models from scratch, adding new features, and setting up automated model training and deployment pipelines. </li><li>Integrate models into popular products of the company to show maximum impact. </li> </ol><h3>About You: </h3><ol><li>A Master Degree or Equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Mathematics, or Statistics. </li><li>In-depth understanding of all major Machine Learning and Deep Learning algorithms, both supervised and unsupervised. </li><li>Passion for leveraging ML/AI to solve real-world business problems. </li><li>5+ years of industry experience in one or more machine/deep learning frameworks. </li><li>4-5 years of industry experience with Python/Pyspark and SQL. </li><li>Experience solving multiple business problems using Machine Learning. </li><li>Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow). </li><li>Ability to drive end-to-end machine learning projects with limited guidance. </li><li>Solid computer science foundation. </li><li>Good written and verbal communication skills. </li><li>Ph.D. in Cyber Security/Machine Learning or related field. </li><li>5+ years of industry experience in the field of Data Science/Machine Learning. </li><li>Prior experience in solving cybersecurity problems using machine learning. </li><li>Familiarity with the Security Domain is a plus. </li> </ol><h3>Company Benefits and Perks: </h3>We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours, and family-friendly benefits to all of our employees. <ul><li>Retirement Plans </li><li>Medical, Dental, and Vision Coverage </li><li>Paid Time Off </li><li>Support for Community Involvement </li> </ul>We're serious about our commitment to diversity, which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other legally protected status. #J-18808-Ljbffr

Job Title: Senior Data Scientist About Trellix: Trellix is a global company redefining the future of cybersecurity and soulful work. The companys comprehensive, open and native cybersecurity platform helps organizations confronted by todays most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at https://trellix.com . Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team's use cases include but are not limited to threatattack detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 5 years of industry experience in one or more machine/deep learning frameworks 4-5 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field 5 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to diversity which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Trellix is a global company redefining the future of cybersecurity and soulful work. The company’s comprehensive, open and native cybersecurity platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at <a href="#">https://trellix.com</a>.Role Overview:We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products.What You Will Do<ol><li>Work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation.</li><li>Execute data science projects with other Senior Data Scientists in the team.</li><li>Identify issues with models running in production and resolve them, which may require retraining models from scratch, adding new features to models, and setting up automated model training and deployment pipelines.</li><li>Integrate these models into popular products of the company to show maximum impact.</li></ol>About You<ol><li>A Master Degree or Equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Mathematics, or Statistics.</li><li>In-depth understanding of all major Machine Learning and Deep Learning algorithms, both supervised and unsupervised.</li><li>Passion for leveraging ML/AI to solve real-world business problems.</li><li>5+ years of industry experience in one or more machine/deep learning frameworks.</li><li>4-5 years of industry experience with Python/Pyspark and SQL.</li><li>Experience solving multiple business problems using Machine Learning.</li><li>Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow).</li><li>Ability to drive end-to-end machine learning projects with limited guidance.</li><li>Solid computer science foundation.</li><li>Good written and verbal communication skills.</li><li>Ph.D in Cyber Security/Machine Learning or related field is a plus.</li><li>Prior experience in solving cybersecurity problems using machine learning.</li><li>Familiarity with the Security Domain will be a plus.</li></ol>Company Benefits and Perks:<ul><li>We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day.</li><li>We offer a variety of social programs, flexible work hours, and family-friendly benefits to all of our employees.</li><li>Retirement Plans.</li><li>Medical, Dental, and Vision Coverage.</li><li>Paid Time Off.</li><li>Support for Community Involvement.</li></ul>We're serious about our commitment to diversity which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
#J-18808-Ljbffr

Job Title: Senior Data Scientist About Trellix: Trellix is a global company redefining the future of cybersecurity and soulful work. The companys comprehensive, open and native cybersecurity platform helps organizations confronted by todays most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at https://trellix.com . Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team's use cases include but are not limited to threatattack detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 5 years of industry experience in one or more machine/deep learning frameworks 4-5 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field 5 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to diversity which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Job Title:

Senior Data Scientist

About Trellix:

Trellix is a global company redefining the future of cybersecurity and soulful work. The company’s comprehensive, open and native cybersecurity platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at   https://trellix.com .

Role Overview:

We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products.

What You Will Do:

As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation.

Our team's use cases include but are not limited to threatattack detection, threat hunting, malware detection and anomaly detection, and MLOps.

You will work with other Senior Data Scientists in the team to execute data science projects.

You will identify issues with models running in production and resolve them.

This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines.

These models will be integrated into popular products of the company to show maximum impact.

About You:

A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics

In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both

Passion for leveraging ML/AI to solve real-world business problems

5+ years of industry experience in one or more machine/deep learning frameworks

4-5 years of industry experience with Python/Pyspark and SQL

Experience solving multiple business problems using Machine Learning

Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow)

Should be able to drive end-to-end machine learning project with limited guidance

Solid computer science foundation

Good written and verbal communication

Ph.D in Cyber Security/Machine Learning or related field

5+ years of industry experience in the field of Data Science/Machine learning

Prior experience in solving cyber security problems using machine learning

Familiarity with Security Domain will be a plus

Company Benefits and Perks:

We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

Retirement Plans

Medical, Dental and Vision Coverage

Paid Time Off

Paid Parental Leave

Support for Community Involvement

We're serious about our commitment to diversity which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

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