Senior Data Scientist
Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.
Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.
Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products:
We are seeking an exceptional Senior Data Scientist to lead our data science team, with a strong focus on feature engineering, model selection, parameter tuning, explainability, and driving innovation through research and development. As a Senior Data Scientist at Socure, you will play a pivotal role in shaping our data-driven strategies, staying ahead of industry trends, and championing a culture of continuous learning and knowledge dissemination.
What you’ll be doing:
Lead the development and optimization of cutting-edge models, with a particular emphasis on NLP models.
Drive innovation in modeling techniques and methodologies, staying at the forefront of data science advancements.
Spearhead feature engineering efforts to extract meaningful insights from complex datasets.
Identify and create new features to enhance model performance and predictive accuracy.
Take charge of model selection processes, ensuring the adoption of the most suitable algorithms for diverse projects.
Fine-tune model parameters to optimize model performance and generalization.
Implement and champion model explainability techniques, ensuring transparency and interpretability in our models.
Lead research initiatives to explore new data science technologies and methodologies.
Stay current with the latest literature in data science and incorporate relevant findings into our projects.
Identify challenger models to benchmark against existing models and drive continuous improvement.
Suggest and develop new features based on domain knowledge and data insights.
Educate and mentor team members, fostering a culture of continuous learning and growth.
Disseminate knowledge through training sessions, documentation, and presentations.
Understand the compliance and regulatory landscape, ensuring our data science solutions align with industry standards.
Monitor and analyze competitor moves in the data science and AI space, providing insights to inform our strategies.
Explore opportunities for patent submissions based on innovative data science solutions and methodologies.
What you’ll bring:
Bachelor’s Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
4-6 years of related work experience.
Proven track record of developing and optimizing complex machine learning models, especially in NLP.
Extensive experience in feature engineering, model selection, and parameter tuning.
Strong expertise in model explainability techniques.
Demonstrated ability to drive R&D initiatives and stay up-to-date with data science literature.
Proficiency in programming languages like Python and relevant data science libraries.
Experience with Tensorflow and/or PyTorch, two leading deep learning frameworks.
Excellent communication and mentorship skills.
Awareness of competitor strategies and moves in the data science field.
Advanced degree (Master's or Ph.D.) and commensurate experience.
Proficiency in building and interpreting decision tree models for insightful data-driven decision-making.
Mastery of LSTM (Long Short-Term Memory), crucial in sequence modeling and time-series analysis.
Familiarity with Transformers architecture and Masked Language Models, driving advances in NLP.
Understanding of different embedding techniques, and the use of pre-trained models.
Skill in text classification algorithms for organizing and categorizing textual data.
Expertise in sentiment analysis.
Proven expertise in fine-tuning Large Language Models (LLMs) for specific tasks.
Experience in entity resolution techniques, ensuring accurate data linkage and integration.
Experience with Spark and Databricks, facilitating efficient data analysis and model training at scale.
Familiarity with Amazon Web Services (AWS), harnessing its cloud capabilities for data processing and deployment.
Knowledge of infrastructure as code using Terraform, facilitating smooth deployment and scaling.
Familiarity with Scala, a versatile programming language for building robust data pipelines.
Familiarity with compliance and regulatory requirements in relevant industries.
Experience with patent submissions.
If you are a seasoned data scientist with a passion for innovation, we encourage you to apply. Join us at Socure, where innovation, inclusivity, and continuous improvement are the cornerstones of our success. Your expertise will be pivotal in achieving our mission.
Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.
We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.
To learn more, check out Socure’s Career Page: https://www.socure.com/company/careers
Socure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
To learn more about how our work is changing the world, check out these articles and videos:
Socure is Forbes' 2022 Best Startup Employer: https://bit.ly/3fbNw8S
Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7
Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU
Socure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4
Archives & Press Releases: https://learn.socure.com/about/press-release