IQ Workforce provides talent services for the analytics community.

Our client is a world-leading technology and education company that brings unique content, software and great student results to high-growth career industries. They provide customized learning solutions to students in the beginning of undergraduate studies and throughout their professional careers. Their customers are in universities, colleges and businesses around the globe.

They are currently looking to grow their Data Science practice by hiring a Director of Data Science or Lead Scientist.

Reporting to the VP Data and Analytics, this person will be responsible leading a small team of data scientists and providing hands-on guidance for delivering actionable insights and associated value to the businesses. The work is enterprise wide in scope and includes improving learner outcomes, driving efficacy in their products, answering financial questions, optimizing sales/marketing strategies and many more exciting use cases.

Responsibilities include:
Our goal is to create a data driven technology culture for our software development teams.  This successful candidate will be a role model with ability to review, direct, mentor, inspire the analytical work of more junior data scientists and data engineering and software development teams across the organization

Develop best practices around data science and machine learning to drive consistency on methodologies and technology selection

Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation

Research and implement novel machine learning and statistical approaches

Work closely with various teams across the business and development teams to translate problems into scalable production grade data-driven solutions.

Education and Work Experience:
BS or Masters in the following areas: Statistics, Data Science, Computer Science, Mathematics or Operations Research; PhD is preferred

A minimum of 5 years’ experience working on data science, machine learning, or artificial intelligence projects in the industry

Preferred 2 years of mentoring or leading a team of data scientists

Qualifications: (non-technical)
Intrinsic motivation with a strong desire to make a positive impact on the organization

Passion for combining both creative and logical critical thinking skills to solve complex, loosely defined problems

Robust sense of intellectual curiosity and the tenacity to experiment

Aspirations for professional development and growth opportunities

Excellent verbal, written, and presentation communication skills

Qualifications (technical)
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Boosting, Ensembling, Neural Networks, etc.
Strong background in text analysis and NLP

Experience with common data science toolkits, such as Python NumPy, SciPy, Scikit-learn, TensorFlow, Theano, Caffe, R, MatLab, Weka, Spark ML, Azure ML, etc.

Excellent scripting and programming skills in Python and R with focus on clarity, reproducibility, and reusability

Experience with relational (SQL Server, Oracle, MySQL, PostgreSQL) and NoSQL (Elastic Search, MongoDB, HBase, Cassandra)

Experience working with unstructured data (email, documents, chats)

Proficiency in using query languages such as SQL, Hive, Pig, Lucene search

Good applied statistics skills, such as hypothesis testing, distributions, bias/variance trade-offs, statistical testing, regression, as well as linear algebra e.g. PCA

Experience training/tuning machine learning models to be used in production environments for real-time processing

Experience with data visualization tools, such as Tableau, Power BI, D3.js, GGplot, Matplotlib, etc.

Experience with cloud infrastructure is a plus

Exposure to cloud cognitive services such as vision, speech, knowledge, search, and language on Azure, Google Cloud, or AWS is a plus