Inside the Best Data Scientist Jobs in Denver & Boulder

Payfone Data Analysts play a critical role in building the next generation of authentication products. You will work closely with engineering, product and sales teams to refine products that directly impact customer experiences. You’ll play a pivotal role in shaping the future of identity verification and help us achieve our mission of creating a state-of-the-art frictionless authentication platform.

Wowza Media Systems is currently seeking a Data Science & Resource Manager to architect, administer and manage Wowza’s internal data structure and facilitate the company’s ongoing business data reporting needs. This position will play a critical role in allowing Wowza’s leaders to make informed, data driven decisions. Take a front row seat in not only learning how Wowza is leading the video streaming industry but also influencing methods and best practices to enable forward progress and growth The ideal candidate will demonstrate initiative, self-motivation and critical thinking skills and have substantial experience with complex data structures and technical environments

Rivt is looking for a full time Data Scientist eager to put their data science and problem solving skills towards building the personalized fitness platform of the future. You’ll join the energetic team in our Boulder office and develop machine learning-based algorithms and models powering our cutting-edge platform utilizing large, diverse fitness datasets. You’ll receive competitive pay, benefits package (including medical, dental, vision), 401k, commuter benefits, and equity.

You will develop analytical models in several applications: recommender systems, forecasting, measurement, customer segmentation, propensity modeling, NLP. You will work with large and messy data sets to solve complex problems using cutting edge data science tools. You will work across lines of business to drive real, measurable value.

Perform ad-hoc analyses and reporting for Operations and Engineering (HDFS, Spark, Kafka, Druid). Build mathematical, machine learning, and statistical models to discover actionable insights. Develop proof-of-concept solutions for advanced reporting or automated decision-making. Monitor, tune, and extend existing Data Science solutions/products. Be a resource for the Data Analysis team for advanced reporting needs. Retrieve, clean, transform and overlay 3rd-party data.

About Parsyl: Parsyl is an early-stage, venture-backed technology platform that was founded with the mission to improve health and save money by providing a better way to ensure the integrity of sensitive goods as they are shipped around the globe. We do this by combining proprietary sensing devices with powerful predictive data analytics to offer an unprecedented view of quality assurance and risk dynamics.   If you get excited thinking about

Re-developing Sling TV’s in-app search engine. Enhancing Sling TV’s in-house recommendation engine. Developing customer behavior segments. Further developing in-app personalization features.

Contribute to analytics strategies that enable a data-driven decision-making approach across all functions. Proactively deliver high-quality analysis and insight that supports both the daily evolution of product performance and the longer term strategic goals of the company. Monitor product adoption and platform growth, providing insight on how this can be improved. Align with Product and Marketing ensuring that all release and user acquisition reporting requirements are appropriately scoped and implemented. Analyze product and marketing performance providing context with baselines, functional KPIs and external market data. Define, implement and where possible automate reporting and dashboards that support day to day operations. Contribute to continuous improvement in product optimization, digital marketing effectiveness and client performance across all markets. Act as business liaison for area of responsibility Establish focal point for business area to request analytic/reporting/data science solutions. Ongoing support and optimization of analytic/reporting solutions.

Enabling a proper enterprise Data Lake in AWS. Building models and tools to get value out of the mass amounts of data we have in our environment. Enabling the best, most personalized and resilient customer experience possible.

The Billtrust Data Science / Machine Learning Intern should be tech savvy and have an ability to thrive in a fast-paced environment.  You should have solid research skills, triaging abilities and the ability to collaborate well with cross-functional teams. This is an opportunity to gain exposure to some of the fundamental aspects of building scalable software using modern cloud technologies, while having the chance to leverage your strong academic knowledge.

You are enthusiastic to learn (and teach) new technologies, machine learning techniques, and advancements in the AdTech industry. You have an abundance of intellectual curiosity. You have a deep understanding of statistical machine learning and optimization techniques as well. You want to work with big data technologies such as Hadoop, Hive, Spark, AWS. You have experience in at least one programming languages (Python, R, Java, Scala, etc.) and are comfortable with SQL by the start of the internship. You are able to deliver a convincing story derived from the data sets to both a technical and non-technical audiences.

As a Data Science Journalist on the Community team, your mission will be to educate, inform, entertain, and delight your audience. Your audience will include a fanatic base of 100,000+ Alteryx Community users as well as data science enthusiasts around the world. Tools at your disposal to get your message across include the Alteryx Community blog, the Alter Everything podcast, and the Alteryx YouTube channel. Your voice will help establish Alteryx as a data science authority. If you love data science and love to transform technical knowledge and research into engaging content for the masses – this is the job for you.