Lead Data Scientist - Cognitive Analytics

USA (remote)

Full Time Senior-level / Expert USD 68K - 135K *

The primary duty of a Lead/Senior Data Scientist is to research, evaluate, and implement advanced descriptive and predictive data models, with a preference for unsupervised techniques based on Statistical Analysis, and Graph-based methods. Familiarity/Expertise with Unstructured Data Analysis, Natural Language, Deep Learning, as well as extensive software engineering skills is required.

Responsibilities:

  • Research, evaluate, and build descriptive and predictive decision strategies to be implemented as part of our Jumio analytics Innovation roadmap. In addition to familiarity with classical data analysis tasks, such as data cleansing, wrangling, pattern identification and variable creation, the position will focus on the use of new techniques for data segmentation and analysis to bring innovation to our cognitive analytics group. Examples of the later are research and implementation of anomaly detection and outlier detection methods based on graph analytics and connected data analysis.
  • Lead technical implementation of models and innovative solutions for new analytics in fraud detection, health care, and decision recommendation.
  • Collaborate tightly with an existing team of Jumio scientists doing applied R&D on cognitive analytics, while actively contributing with the engineering team tasked with the implementation of these new analytic approaches. Keep up to date with latest technologies trends. Communicate results and ideas to the rest of the team.
  • Assist with client meetings and client engagements to promote the new technology, implement proof of concepts, and solve real life data problems. Provide support for customer meetings, model construction, and pre-sales engagements.
  • Write documentation related to research and product features to present to both technical and non-technical audiences.
  • Serve as a source of technical expertise and leadership across development teams.

 Experience and Qualifications:

Data Science Skills

    • Master’s Degree or Ph.D. (preferable) in Computer Science, Statistics, Electrical Engineering, Applied Math, Physics, or related field are preferred.
    • Experience with data pre-processing, and data analytics. Extensive background in Data Mining and Statistical Analysis. Able to understand various structures and common methods of data transformation.
    • Strong pattern recognition and predictive modeling skills.
    • Experience with different supervised and unsupervised machine learning methods for clustering, classification, and forecasting. Linear, Non-Linear and Logistic Regressions, Neural Networks, SVMs, Random Forests, and Outlier Detection methods.
  • Experience with deep learning networks such as Long-Short Term Memory (LSTM) and Convolution neural Networks (CNN), as well as Attention Based Modeling and Embeddings is highly desirable.
  • Familiarity with Graph-based algorithms, Social Network Analysis, and Graph-based anomaly detection methods.
    • Familiarity/Experience with Open Source development frameworks
    • Ability to code in Phyton, TensorFlow, etc. Scripting experience using Perl, Bash, and Linux to facilitate data analysis and model development. 
  • Software Engineering Skills
    • Experience/Familiarity with the following technological stack:

Tools and Frameworks:

  • Python: ML frameworks (Tensorflow, Scikit-Learn, etc.), Flask, Requests, Tenacity, SpaCy, Datasketch, PyTest, opencv-python, etc.
  • Java: Spring framework, Guice, Jersey, SLF4J, Logback, JUnit, etc.
  • C++: OpenCV, Tesseract, Boost, Pistache
  • Javascript: Angular, OpenCV.js

Databases:

  • MongoDB, MySQL, ArangoDB, Oracle

Development, Build and CI/CD tools:

  • Git, Maven, Gradle, Pantsbuild, Jenkins, Sonar, Nexus, Helm

Security frameworks:

  • OAuth2, OpenID Connect, SAML2

Other:

  • Elasticsearch, Hazelcast, Apache Ignite, Apache ActiveMQ, Keycloak

Deployment:

  • Docker, AWS (EC2, ECS, EKS, S3, CloudFormation, Route53, etc.), Kubernetes, Openstack, Seldon.io, Apache Tomcat, NGINX

 

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

@Work:
US Remote

Company:

Jumio is the future for online and mobile ID verification. We are the largest and fastest growing company in the ID verification space. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. 

Equal Opportunities:

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and statuses.

 

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities:

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. 

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy

We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

* Salary range is an estimate based on our salary survey 💰

Tags: AWS CI/CD Classification Computer Science Data analysis Data Analytics Data Mining Deep Learning Docker EC2 ECS Elasticsearch Engineering FinTech Flask Git Helm JavaScript Kubernetes Linux Machine Learning Maven MongoDB MySQL OpenCV Open Source OpenStack Oracle Perl Physics Predictive modeling Python R R&D Research Scikit-learn Security spaCy Statistics TensorFlow Unstructured data

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  4  3  0
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