Senior Data Scientist
Sage Intacct
San Jose
hace 3 días

Who we are :

Sage Artificial Intelligence Labs "SAIL" is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity.

The SAIL team builds capabilities to help businesses make better decisions through data-powered insights.

As a part of our team, you will be crafting machine learning solutions to help steer the direction of the entire company’s Data Science and Machine Learning effort.

You will have chances to innovate, contribute and make an impact on the rapidly growing FinTech industry.

You will have overall technical ownership of designing, developing, delivering, and maintaining high quality machine learning solutions that contribute to the success of Sage and contributes intelligence to its products.

If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today!

Qualifications :

  • Deep understanding of statistical and machine learning foundations
  • Experience designing, developing and scaling machine learning
  • 4+ years industry experience training and shipping production machine learning models.
  • Proficiency with Python, R, Pandas and ML frameworks such as scikit-learn, PyTorch, TensorFlow etc
  • Experience with NLP and applying ML in the Accounting / Finance domain a plus
  • Deep experience with : logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance, eigenvectors, sampling, latency, computational complexity, sparse matrices.
  • Preferred Qualifications :

    MS in Computer Science, Electrical Engineering, Statistics, Physics, or similar quantitative fields.

    Experience with NLP and applying ML in the Accounting / Finance domain a plus

    Experience wrangling data, writing SQL queries and basic scripting.

    Deep experience with : logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance, eigenvectors, sampling, latency, computational complexity, sparse matrices.

    You may be a fit for this role if you :

    You’re comfortable investigating open-ended problems and coming up with concrete approaches to solve them.

    You don't only use machine learning models but can implement many machine learning and statistical learning models from scratch and know when / how to apply them to real world noisy data.

    You’re a deeply curious person and eager to learn and grow.

    You often think about applications of machine learning in your personal life

    What's it like to work here

    You will have an opportunity to work in an environment where Data Science is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software.

    Our distributed team is spread across multiple continents, we promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff.

    Our team is talented, capable and inclusive. We know that great things can only be done with great teams and look forward to continuing this direction.Key Responsibilities

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