Myriad Genetics · 2 weeks ago
Lead Data Scientist - Remote (Data Scientist IV)
United States
Full-time
Remote
Senior Level, Lead/Staff
10+ years exp
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Responsibilities
Lead the development and implementation of Myriad’s data science strategy, with a focus on business operations.
Build and lead a team of data scientists to support key business and research objectives.
Foster collaboration between technology and business operations teams to ensure data science, AI, and ML initiatives align with the broader goals of the organization.
Work closely with the business team to refine requirements and build success criteria
Promote best practices in data science and analytics.
Create, maintain, and refine predictive models and machine learning algorithms to analyze large datasets from diverse sources
Develop advanced data tools and pipelines for processing, cleaning, and analyzing complex datasets, both scientific and operational (e.g., customer data, sales, financial metrics).
Utilize AI and ML techniques to drive process automation, enhance decision-making, and deliver insights for improving operational performance across marketing, sales, finance, and supply chain functions.
Design and implement scalable, efficient machine learning technology stack to support ongoing machine learning needs for both scientific and business operations.
Lead MLOps initiatives to streamline the model lifecycle, including continuous integration, deployment, and monitoring in production environments.
Ensure reliability and scalability of machine learning platforms through automation, adherence to industry best practices, and cutting-edge AI/ML solutions.
Collaborate with cloud teams to maintain and enhance AWS and DNAnexus platforms for seamless data integration, model deployment, and process optimization.
Leverage data science, AI, and ML to provide actionable insights that drive improvements in customer experience, sales forecasting, and operational efficiency.
Develop models to support business operations in areas such as demand forecasting, customer segmentation, churn prediction, and resource allocation.
Use advanced analytics to identify business trends, optimize pricing strategies, and enhance marketing campaigns.
Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and implement strong data governance practices to ensure data security and ethical use of AI/ML models.
Advocate for responsible AI and machine learning practices, ensuring fairness, transparency, and accountability in all models deployed.
Promote best practices in ethical AI development and ensure adherence to industry standards and company policies on data usage.
Work closely with molecular biologists, computational scientists, business analysts, and cross-functional teams to translate complex scientific and business problems into data science applications.
Present complex data findings and actionable insights to both technical and non-technical stakeholders, including senior leadership.
Promote knowledge sharing across departments to ensure data-driven decision-making, operational innovation, and business growth.
Collaborate with revenue, commercial, and lab product teams to analyze large datasets to extract actionable insights, identify trends, and make recommendations.
Thoroughly document workflows, models, and analytical processes to ensure transparency and reproducibility.
Lead project management efforts, ensuring data science and business operations initiatives are completed on time and meet stakeholder expectations.
Qualification
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Required
PhD in Data Science, Bioinformatics, Computer Science, Business Analytics, or a related field with 6+ years of experience; OR MS degree with 8+ years of experience; OR BS degree with 10+ years of experience.
4+ yrs experience in AWS, 2+ yrs experience in Snowflake. Sagemaker/ DataIKU / ML Flow / Meta Flow experience is a plus.
Proven experience building and deploying machine learning models, with a focus on business operations in AWS stack or snowflake. ML ops experience is required.
Proficiency in Python, and data science libraries (scikit-learn, TensorFlow, PyTorch, etc.).
Experience in Jira, github is a must. Must be familiar with Agile methodologies and be able to participate in scrums, sprint planning, sprint refinements, and retro.
Experience working with large-scale relational databases, cloud platforms (AWS, Google Cloud), and unstructured data.
Strong understanding of AI, ML, and statistical methods applied to business data, and scientific data is a plus.
Ability to develop predictive models for customer behavior, sales forecasts, and operational efficiency.
Expertise in data mining, natural language processing (NLP), and optimization techniques.
Demonstrated leadership skills with the ability to mentor and guide junior data scientists and a small team of data scientists.
Excellent communication skills, capable of explaining technical concepts to non-technical stakeholders.
Strong organizational and project management abilities.
Preferred
Experience with time-series data, A/B testing, and predictive modeling for business functions.
Familiarity with AI and ML tools for automating business processes and improving operational efficiency.
Benefits
Health insurance
401(k)
Opportunities for professional development
Company
Myriad Genetics
Myriad Genetics discovers, develops, and commercializing novel therapies for the treatment of cancer.
1001-5000 employees
H1B Sponsorship
Myriad Genetics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (9)
2021 (3)
Funding
Current Stage
Public CompanyTotal Funding
$90M2023-07-06Post Ipo Debt· $90M
1995-10-13IPO
Leadership Team
Paul Diaz
President and Chief Executive Officer
Bryan Riggsbee
EVP Chief Financial Officer
Recent News
GlobeNewswire News Room
2024-12-10
Company data provided by crunchbase
