Job Description

Job Summary
The Senior Data Scientist provides expertise and leadership within the Workiva Data Science team. Leads initiatives in descriptive, predictive, and machine learning modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex products. Creates and executes solutions from initial concept to fully tested production, and communicates results to a broad range of audiences. Advanced use of current and emerging technologies to evaluate data sets and develop actionable insights and recommendations to management. Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact based management to drive decision-making. Mentors less senior staff. Provides guidance to cross-functional teams. Routinely works on multiple highly complex assignments. Provides consultation to Senior Leadership.

What You'll Do

Identify, and distill business problems into machine learning experiments. Develop and research data science modeling/algorithmic approaches and perform experiments evaluating the approach chosen.
Work in a multi-disciplinary, product focused, cross-functional team to deliver business value from artificial intelligence technologies and modeling.
Perform rapid iteration on modeling tasks, and result to refine and validate approach.
Deal with ambiguity, high dimensional, and real-world data to produce measurable business results.
Work in a fast-paced, highly performant team of data scientist within a dynamic business environment. Communicate with peers and business partners virtually; as this position is entirely remote.
Communicate results, risks, and provides in-depth documentation and visualizations to educate peers and business partners of experimental results.
Deploy, and validate models using rigorous statistical methods.
Work with business partners and peers to validate model performance metrics and application of modeling techniques in an effort to drive business value through features Workiva customers love
Demonstrates industry leading experience developing, delivering and maintaining machine learning-based solutions in production in the cloud.
Provides mentorship and guidance to team members.

What You'll Need

Education

MS/PhD or advanced level degree in CS/EE/Applied Mathematics/Statistics/DS/ML or related fields with knowledge in information retrieval, NLP, Machine Learning and Data Mining strongly preferred

Skills

Proficiency in at least one scripting language (Python, R).
Fluency in SQL and relational/document/column database technologies (postgres, Redshift, Mongodb, presto).
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models(git, etc.)
Ability to adapt to a changing environment and handle multiple priorities

Experience

3+ years of experience working with machine learning libraries and applying them to real-world data science problems.
Experienced with machine learning, text mining/natural language processing (NLP).
Deep knowledge of some of the popular ML frameworks such as TensorFlow, Keras, scikit-learn, PyTorch etc.
Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, CoreNLP.
Familiarity with NLP tasks (e.g. OCR, Named Entity Recognition, Document Classification, Sentiment Analyses, Topic Modeling, Summarization, etc).
Knowledge and understanding of pre-trained language models like BERT, Hugging Face, and GPT.
Demonstrable experience with parallel and distributed computing, statistics, machine learning, cloud technologies like AWS (Sagemaker, Comprehend, Textract, S3, Athena).

Preferred Experience:

Experience with graph based databases and GraphML (Neptune, Neo4j, NetworkX)
Experience shipping models to production, and ensuring continuous availability via measurements, and tools like statistical process control.
Extensive, and relevant research in Machine Learning.
Working with distributed computing environments like Hadoop, Spark
Familiarity with model monitoring frameworks, and MLOps stacks.
Experience using GPU environments optimizing ML performance
Domain experience within FinTech/SEC/Financial Reporting

Travel Requirements

Minimal Travel

Working Conditions & Physical Requirements

Reliable internet access for any period of time working remotely, not in a Workiva office.

How You'll Be Rewarded

Base Pay Range in Colorado: $118,000 - $162,000
A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire

The base pay range represents the low and high end of the hiring range for this job. Actual pay will vary and may be above or below the range based on various factors including but not limited to relevant skills, experience, and capabilities.

Where You’ll Work

Our values drive how we work and who we hire. You will see these values ingrained in how we support our customers, work with team members, build our products and in the work environment we’ve created.

Customer Success:  Always delight our customers.

Trust: Rely on each other. 

Integrity: Do the right thing, every time. 

Collaboration: Share resources and work together. 

Innovation: Keep creating solutions and finding better ways. 

Inclusion: Support a diverse community where we all belong. 

Accountability: Be responsible for your success and failure.

We believe our people are our greatest asset, and our unique culture gives employees the opportunity to make an impact everyday. We give our employees the freedom and resources they need—backed by our culture of collaboration and diverse thought—to continue innovating and breaking new ground. We hire talented people with a wide range of skills and experiences who are eager to tackle some of today’s most challenging problems.

At Workiva, you’ll enjoy: 

Fantastic Benefits: With coverage starting day one, choose from competitive health, dental, and vision plans on the largest physician networks available.

Casual Dress: Workiva has a casual work environment, most people wear jeans to the office.

Involvement: Ability to participate in Employee Resource Groups, (Women in Tech, Women in Sales, Ethnic Diversity, Veterans, Rainbow (LGBTQ), Remote Employees, Caregiving) Volunteering, Company wide celebrations, and more

Work-life Balance: We have competitive PTO, VTO and Parental Leave. We encourage employees to spend time enjoying life outside of work.