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Data Scientist

Dallas, TX, United States

Kunai is a fast-growing digital consultancy focused on banking, payments, and fintech powered by a global network that attracts the best and brightest people from all backgrounds and cultures, driven by innovation and experimentation, spread across almost every single continent. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes. Our founders built a previous agency (Monsoon) that was acquired by Capital One in 2015.

We are looking for an experience Data Scientist who will provide solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions. You will create scalable Machine Learning systems that are highly performant. Further, you will build reusable production data pipelines for implemented machine learning models as well as write production-quality code and libraries that can be packaged as containers, installed and deployed. Finally, you will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Responsibilities:

As a Senior Data Scientist, you will be a Technical lead on Data science projects/Products and take ownership of implementation and delivery responsibilities

You will work closely with product stakeholders to develop “intelligent” features and deliver outstanding business outcomes leveraging Machine Learning, Deep Learning, NLP and CV.

Ideate with stakeholders to identify ML/Deep Learning opportunities for solutions.

Formulate problems and translate into Data Science project requirements.

Build solutions that can be easily integrated into external frameworks or existing applications.

Select appropriate ML modeling techniques for complex problems with large-scale data.

Develop and iterate on features collaboratively with the business partners.

Lead model development and guide team members through building, testing, and deploying ML models at scale.

Establish best practices for model deployment, monitoring, and interpretability.

Ensure production-ready ML solutions with low latency inference times and risk assessment.

Qualifications:

Expertise in Statistics, Machine Learning, Deep Learning, NLP (Computer Vision is a plus)

Proven industry experience in solving Retail and Customer science problems.

Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies.

Experience leading and mentoring data science teams,

Effective technical communication to non-technical stakeholders.

Knowledge of Deployment and Scaling best practices.

Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc...

PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics a big plus

Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch).

At Kunai, we have built deep relationships with our clients. Our bar is high, and our mission is to always exceed our client’s expectations. If you are fanatical about customer success and driven to work on and solve tough technical challenges, we would love to chat with you!

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