Myriad Genetics Looking for Data Scientist III at Salt Lake City, UT  Full Time

DATA SCIENTIST III – Remote

We need Data Scientist III to help Myriad Genetics, Inc. deliver innovative products that allow patients to make life-changing decisions. Our genetic screening and testing help to provide actionable insights to empower people to make critical and timely healthcare decisions by using molecular diagnostic tests for hereditary cancer, urological cancer, autoimmune disorders, depression, and other diseases. We are excited about the future and remain committed to advancing the science of personalized medicine as we develop more products to address unmet medical needs.

Myriad deals in diverse data sets: financial, operations, digital marketing, insurance claims and clinical genomics. The Enterprise Data Science team works with commercial, marketing, digital product, finance, and operations leads to unlock strategic insights from this data to be used across the business. The team deals with large and complex data sources to deliver in-depth analysis, identify drivers of growth and performance, and to develop models that enhance our operations. We’re looking for a leader that will strengthen the trajectory of data informed decision making at Myriad.

This is a REMOTE – WORK FROM HOME position with flex-work as an option if you are near a Myriad location.

WHAT YOU WILL DO

• You will lead end-to-end enterprise data science projects.
• You will connect with stakeholders to fully understand the abstract business problems they’re looking to solve.
• You will ask the right questions to begin the discovery process and build relationships with the working team to co-create the solution.
• You will carry out preprocessing, cleansing, and validating the integrity of structured and unstructured data for developing business and statistical sound analytical datasets.
• Using machine learning tools to select features, create and optimize classifiers and prediction systems
• You will present your findings and analytical solutions to your stakeholders and incorporate their feedback.
• You will implement analytical models into production by collaborating with the cross functional teams.

ABOUT YOU

• You enjoy working in a collaborative and diverse team environment.
• You are great at creating effective relationships, listening, influencing, and collaborating internally and externally at all organizational levels.
• You possess strong communication skills. You are comfortable explaining technical concepts in common business terms to the business community and technical professionals across all levels of an organization.
• You work through ambiguous situations with a can-do attitude and proactively determine creative solutions and strategies to tackle business challenges.
• You apply objective analysis of facts before settling on a solution and are comfortable challenging the status quo.
• You look beyond the optimization problem and understand how your solution fits into the business process.
• You are passionate about storytelling and using data to influence decision making.

Skills and Qualifications

• Experience with leading data science projects from conceptualization to deployment.
• Knowledge of statistical programming languages including Python, and database query languages like SQL
• Excellent applied statistical skills, including knowledge of statistical tests, distributions, regression etc. Experience using libraries such as statsmodel or scipy
• Proficient in selecting and applying the appropriate supervised and unsupervised machine learning models to solve regression and classification problems. Experience using libraries such as scikitlearn.
• Experience in data wrangling with libraries such as Pandas, Numpy or Dask
• Experience in data visualization with tools like matplotlib, plotly, bokeh or d3.js
• Understand Machine Learning Operations (MLOps) practices. Familiarity with MlFlow is a plus.
• Bachelor’s degree in statistics, applied mathematics, economics, computer science or related discipline
• 4+ years’ experience working in data science teams

Bonus Qualifications

• Master’s degree or PhD. in stats, applied math, computer science or related discipline

• + years of project management experience
• Experience in explainable ML with using SHAP, LIME, ELI5 or EthicalML
• Experience with designing and implementing A/B testing
• Hands on experience in one or more : Deep learning (tensorflow, pytorch), NLP (nltk, spaCy), timeseries analysis, forecasting (Prophet), survival analysis (lifelines) ,CLV (lifetimes), webscraping (BeautifulSoup)
• Experience in one or more:, Dash or Flask etc.
• Experience working in one or more of these domains: marketing and sales strategies, financial forecasting, business operations, people analytics or health-related data sets.

TO DISCOVER ALL THE REMARKABLE ADVANCEMENTS THROUGHOUT MYRIAD GENETICS, INC PLEASE VISIT:

* Myriad Autoimmune: https://myriad.com/patients-families/disease-info/rheumatoid-arthritis/

* Myriad Neuroscience: https://genesight.com/about-myriad-neuroscience/

* Myriad Oncology: https://myriad-oncology.com/

* Myriad Urology: https://myriadmyrisk.com/urology/

* Myriad Women’s Health: https://myriadwomenshealth.com/

* For more information on how Myriad is making a difference, please visit the Company’s website: www.myriad.com

* For other great information, you can visit us on Linkedin at: https://www.linkedin.com/company/myriad-genetics/

WE ARE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to mental or physical disability, race, color, religion, sex, sexual orientation, gender identity, age, genetic information, national origin, disability status, military or veteran status.

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We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. In hiring and all other employment decisions, we prohibit discrimination and harassment on the basis of any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.