Senior Data Scientist

Key Skills

Python Programming, PowerBI, SQL Server, Data Visualization, NumPy, SciPy, Tableau, TensorFlow, D3.js, Snowflake, Scikit-learn, R Programming, ggplot, SparkML, Neural Networks, Time series, AzureML, Gradient Boosting trees, Decision Forests

Job Description

Ascend Learning is a national leader in data driven, online educational solutions for learners, educators and employers in high-growth, licensure-driven professions spanning healthcare, fitness and wellness, skilled trades, insurance, and financial services. We are passionate about accelerating learning while impacting job readiness, employment success and employee retention with the belief that our work changes lives.

Our culture is intentionally results-driven and selfless, with a relentless focus on our customers. We believe in trust, transparency, freedom, and responsibility with a commitment to meritocracy, inclusion, and diversity of thought. Continual investment in our over 1400 employees is also a core principle realized through ongoing professional development and providing opportunities to grow, develop and lead. Ascend Learning is headquartered in Burlington, MA, with additional office locations and remote workers in cities across the U.S. and in the U.K.

Are you a Data Scientist that is interested in joining a team delivering online education backed by data and analytics systems?? Our team works with leading edge data technologies such as Snowflake, Azure, Confluent-Kafka, Kafka Streams, SQL Server, Azure ML Services, Automated ML Solutions and Machine Learning Interpretability frameworks. We are hiring now! Leawood, KS office location/hybrid preferred. Burlington, MA location/hybrid an office location. Remote considered.

We are hiring now for a Senior Data Scientist at our Ascend Data Science team. This position assists organizational decision making by providing and explaining data in an easily consumable format and translates internal customers’ business requirements into technical requirements. The Senior Data Scientist will be responsible for executing Ascend data science projects, create new models, refreshes models during generational product change, conducts proof of concept research for new product initiatives.?The successful candidate has strong modelling skills and are comfortable owning data, converting business problems into analytical solution, and work from concept to execution.

The Senior Data Scientist will work with agile data science team, and coordinates with other teams that have a stake in the development process. This position works closely with the nursing industry team on new product ideas and is aware of changes in nursing industry.

Responsibilities:

• Convert Business need into high-level analytics problem statement and deliver business impacting projects.
• Partner with business throughout the ideation stage to maturity and understand business trends and problems.
• Complete systematic and detailed project plans to identify possible solutions leveraging machine learning.
• Conduct experiments and rapid prototyping. Implement identified solutions by building optimization, statistical and machine learning models and present the insights.
• Collaborate with Data Scientists and Data Engineers to develop state-of-the-art machine learning pipeline – from data gathering to model building and inference.
• Operationalize machine learning models by integrating models onto End-to-end machine learning model life cycle management framework.
• Actively participate in all relevant agile ceremonies for each project iteration.

Education and Experience:

• Masters in the following areas: Statistics, Data Science, Computer Science, Mathematics or Operations Research.
• A minimum of 5 years’ experience working on data science, machine learning, or artificial intelligence projects in the industry.
• Experience with common data science toolkits, such as Python NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, Azure ML, etc.
• Excellent scripting and programming skills in Python and R with focus on clarity, reproducibility, and reusability
• Experience with relational databases (SQL Server)
• Experience building classification, regression, clustering, supervised, semi-supervised, deep learning models.
• Experience working with datasets of varying degrees of size and complexity including both structured and unstructured data (email, documents, chats)
• Expert in applied statistics skills, such as hypothesis testing, distributions, bias/variance trade-offs, statistical testing, regression, 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, etc.

Skills and Abilities:

• Experience distilling customer requirement into analytical problem, defining success and metrics, and dealing with ambiguity and competing goals.
• 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
• Excellent problem-solving, critical-thinking skills and an ability to translate a business scenario into a technical solution
• Aspirations for professional development and growth opportunities
• Excellent verbal, written, and presentation communication skills
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, SVM, Decision Forests, Boosting, Ensemble, Neural Networks, Time Series etc.
• Combination of business and technical acumen to effectively communicate analytical findings creatively to engineering and business audience at all levels of organization.
• Experience with cloud infrastructure and Snowflake is a plus

Candidates should be aware that Ascend Learning currently maintains a policy requiring all employees to be fully vaccinated. Newly hired employees must be fully vaccinated by their start date. Ascend Learning is an equal opportunity employer and will provide a reasonable accommodation to those unable to be vaccinated where it is not an undue hardship to the Company to do so as provided under federal, state, and local law. Exceptions to the vaccine requirement may apply for employees living or working in Montana.

Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S. based positions with Ascend Learning, LLC must be legally authorized to work in the United States and verification of employment eligibility will be required at the time of hire.