Lead Data Scientist - Remote (Data Scientist IV)
As the Lead Data Scientist for the Myriad Data Services Team, you will be responsible for establishing and developing the data science program. You will work cross-functionally with R&D, technology, and business operations teams to implement data-driven solutions that enhance patient care, drive business insights, and improve operational efficiencies. This role requires a strategic and innovative leader with strong technical expertise in data science, artificial intelligence (AI), and machine learning (ML), capable of driving impactful solutions across both scientific and business functions.
Key Responsibilities:  Program Development and Leadership:   Lead the development and implementation of Myriad’s data science strategy, with a focus on both scientific research and business operations.
Build and lead a team of data scientists to support key business and research objectives.
Foster collaboration between R&D, 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.
Data Science and Machine Learning Solutions:   Create, maintain, and refine predictive models and machine learning algorithms to analyze large datasets from diverse sources, including patient records, molecular assays, clinical information, and business operations data.
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.
Infrastructure and Platform Development:   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.
Business Operations Focus:   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.
Data Governance, Compliance, and Ethical AI:   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.
Collaboration and Communication:   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.
Documentation and Project Management:   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.
Qualifications:  Education:   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.
Experience:   Proven experience building and deploying machine learning models, with a focus on healthcare, genomics, and business operations in AWS stack and snowflake.
Expertise in AI and ML techniques applicable to both scientific research and business functions (e.g., marketing, sales, finance, and operations).
Proficiency in Python, R, and data science libraries (scikit-learn, TensorFlow, PyTorch, etc.).
4+ yrs experience in AWS, 2+ yrs experience in Snowflake. Sagemaker/ DataIKU / ML Flow / Meta Flow experience is a plus.
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.
Skills:   Strong understanding of AI, ML, and statistical methods applied to both scientific and business data.
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 Skills:   Experience with next-generation sequencing (NGS) data analysis.
Knowledge of clinical trial data, healthcare informatics, and business operations analytics.
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.
Compensation and Benefits:  Myriad offers a competitive salary and comprehensive benefits package, including health insurance, 401(k), and opportunities for professional development.

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Job Summary
Join our dynamic team as a Lead Data Scientist, spearheading innovative data science solutions for the Customer domain. In this role, you will be a key player in shaping the future of retail by leveraging cutting-edge technologies to enhance customer experiences.
The primary purpose of this role is to lead the development of cutting-edge data science, machine learning, and deep learning solutions to solve Lowe’s retail problems at massive scale. This position will provide a wide range of strategic and technical leadership, research, and production-ready implementations and solutions collaborating closely with engineering, product management, and business partner teams. You will support diverse areas of the home improvement retail business including, but not limited to: predictive modeling; personalization and recommendation, visual search, assortment optimization, pricing and promotion in digital/eCommerce space; advanced computer vision algorithms, Generative AI (LLM, Diffusion) to improve store operations, safety, product data quality, customer shopping experience, associate productivity across 1700+ Lowe’s physical stores, forecasting algorithms to optimize inventory and supply chain management across stores and distribution centers.
Initially, this role will be focused on building products in the Customer domain with a focus on Customer ID resolution and stitching. Although not required, experience with ML models and algorithms in the Customer domain would be considered a positive.
Key Responsibilities
Leads the full lifecycle of data science projects from inception to completion with full adherence to enterprise product and project management practices.
Applies advanced data science, machine learning, and deep learning algorithms necessary to derive insights and to develop solutions on an enterprise scale providing a competitive advantage to Lowe’s business.
Prepares final recommendations through effective storytelling and actionable insights for the relevant stakeholders, ensuring solutions are best-in-class, implementable, and scalable in the business.
Supports the development of automated self-service products and solutions for Lowe's business partners to effectively interpret data and build data products.
Establishes and maintains robust data and AI governance practices and ensures data integrity, security, and compliance with relevant regulations.
Highly proficient in Python or equivalent languages to build production-ready data science capabilities.
Maintains expert-level knowledge on industry trends, emerging technologies, leading research initiatives to explore their potential application in the home improvement domain.
Leads, mentors, and inspires a team of data scientists, fostering a culture of continuous learning, collaboration, and innovation.
Provides guidance to more junior-level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with stakeholders and plans resources accordingly.
Collaborates and communicates with cross-functional stakeholders to provide updates and manage scope.
Required Qualifications
• Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field)
•  AND
• 6 years of experience in analytics
•  AND
• 2 years of programming experience (Python, Java, Scala, Rust, etc.)
•  OR
• Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
•  AND
• 3 years of experience in analytics
•  AND
• 1 year of programming experience (Python, Java, Scala, Rust, etc.)
•  OR
• Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
•  AND  2 years of experience in analytics
Also
• Knowledge of SQL and various statistical modeling or machine learning techniques.
Preferred Qualifications
• Ph.D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field
• 3 years of experience performing predictive analytics at a large scale enterprise
• 3 years of experience in data science or advanced analytics in industry
• SQL Experience
• Programming experience (Python, Java, Scala, Rust, etc.)
• Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
About Lowe’s
Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit  Lowes.com .
Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

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Calling all data scientists living with a passion for cracking the code in ops research! Trouve Labs is on the hunt for one just like you to join their Research Division in deep tech. Read on for a preview of our team dynamics see if this role is for you:Key Responsibilities:<ul><li>Develop/refine mathematical models for complex optimization problems, with expertise in linear & dynamic programming techniques.</li><li>Apply optimization methods for operational challenges, with route planning and resource allocation, utilizing Python for algorithm implementation.</li><li>Examine data to identify patterns, constraints, and opportunities for process improvement, using Python for data analysis and manipulation.</li><li>Evaluate optimization solutions and algorithms focusing on relevant metrics and goals.</li><li>Customize optimization models to meet specific business requirements & unique constraints.</li><li>Collaborate with cross-functional teams to integrate optimization solutions into operations.</li><li>Document methodologies, findings, and solution implementations clearly and concisely.</li><li>Stay updated on the latest operations research techniques, industry trends, and emerging best practices.</li></ul>Minimum Requirements:<ul><li>Optimization Techniques: Expertise in linear and dynamic programming techniques and their application to real-world operational challenges.</li><li>API Development: Experience in developing and integrating APIs to enable seamless data exchange and functionality within applications.</li><li>Embedded Systems: Knowledge of embedded systems to optimize and improve hardware-software integration.</li><li>MLOps: Familiarity with MLOps for streamlining machine learning model development, deployment, and monitoring processes.</li><li>Frontend Development: Understanding of frontend development to ensure smooth user interfaces for interacting with optimization models and solutions.</li><li>Deployment: Experience in deploying optimization solutions and algorithms into production environments.</li></ul>So what’s good?<ul><li>No bosses, no hierarchy – we are as flat as they come</li><li>Unlimited annual leave</li><li>No one judges you with your experience or degree or nationality, gender, sexual orientation nor religion. Or what you wear</li><li>ESOP for those who qualify (shares)</li><li>You get to bloom and flourish in an environment that gives you every chance that you didn’t get before</li><li>We love making mistakes and learn from them</li><li>Plenty of support to develop and grow</li></ul>About the Company:Trouve Labs is not just a company – we're a unicorn galloping towards decacorn status! We’re all about breaking boundaries and rewriting the rules as part of an ecosystem that’s akin to a movement, and a force to be reckoned with in tech. Join us and benefit from ESOP opportunities, because we believe in sharing the wealth (literally!). Financial equality and social mobility are not just words to us, they’re a way of life. We value innovation, diversity, and providing opportunities for unlimited growth, personally and professionally. So get ready to make your mark, with Trouve Labs!Job Type: Full-timeLanguage:<ul><li>English (Required)</li><li>Arabic (Preferred)</li></ul>Ability to Commute:<ul><li>Dubai (Preferred)</li></ul>Ability to Relocate:<ul><li>Dubai: Relocate before starting work (Required)</li></ul>
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Lead Data Scientist - Remote (Data Scientist IV)
As the Lead Data Scientist for the Myriad Data Services Team, you will be responsible for establishing and developing the data science program. You will work cross-functionally with R&D, technology, and business operations teams to implement data-driven solutions that enhance patient care, drive business insights, and improve operational efficiencies. This role requires a strategic and innovative leader with strong technical expertise in data science, artificial intelligence (AI), and machine learning (ML), capable of driving impactful solutions across both scientific and business functions.
Key Responsibilities: Program Development and Leadership: Lead the development and implementation of Myriad’s data science strategy, with a focus on both scientific research and business operations.
Build and lead a team of data scientists to support key business and research objectives.
Foster collaboration between R&D, 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.
Data Science and Machine Learning Solutions: Create, maintain, and refine predictive models and machine learning algorithms to analyze large datasets from diverse sources, including patient records, molecular assays, clinical information, and business operations data.
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.
Infrastructure and Platform Development: 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.
Business Operations Focus: 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.
Data Governance, Compliance, and Ethical AI: 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.
Collaboration and Communication: 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.
Documentation and Project Management: 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.
Qualifications: Education: 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.
Experience: Proven experience building and deploying machine learning models, with a focus on healthcare, genomics, and business operations in AWS stack and snowflake.
Expertise in AI and ML techniques applicable to both scientific research and business functions (e.g., marketing, sales, finance, and operations).
Proficiency in Python, R, and data science libraries (scikit-learn, TensorFlow, PyTorch, etc.).
4+ yrs experience in AWS, 2+ yrs experience in Snowflake. Sagemaker/ DataIKU / ML Flow / Meta Flow experience is a plus.
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.
Skills: Strong understanding of AI, ML, and statistical methods applied to both scientific and business data.
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 Skills: Experience with next-generation sequencing (NGS) data analysis.
Knowledge of clinical trial data, healthcare informatics, and business operations analytics.
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.
Compensation and Benefits: Myriad offers a competitive salary and comprehensive benefits package, including health insurance, 401(k), and opportunities for professional development.

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Join Amgen’s Mission of Serving PatientsAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.Our award-winning culture is collaborative, innovative, and science-based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.<h3>Senior Data Scientist</h3><h3>What you will do</h3>In this vital role you will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative uses state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content.<ol><li>Develop AI/ML/LLM models to serve the regulatory writing group.</li><li>Create reusable and effective prompts for LLMs such as OpenAI GPT4, Anthropic Claude etc.</li><li>Build evaluation metrics and frameworks for prompt engineering.</li><li>Collaborate closely with business key customers to discuss requirements, ensuring alignment between technical capabilities and business objectives, while effectively communicating any technical limitations or constraints.</li><li>Work with data and software engineers on data quality assessment, data cleansing and data ingestion of unstructured documents into vector databases.</li><li>Build retrieval algorithms to identify relevant data.</li><li>Work in technical teams in development, deployment, and application of models into production tools.</li><li>Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.</li><li>Share and discuss findings with team members practicing SAFe Agile delivery model.</li></ol><h3>What we expect of you</h3>We are seeking a highly skilled Senior Data Scientist with a strong MLOps background and experience working with Large Language Models (LLMs) to join our team. You will play a pivotal role in building and scaling our machine learning models and LLM applications from development to production. Your expertise in both machine learning and operations will be critical in creating efficient and reliable pipelines and applications.<h3>Basic Qualifications:</h3><ol><li>Doctorate Degree OR</li><li>Master’s degree with 4 to 6 years of experience in Software Engineering, Data Science or Machine Learning Engineering OR</li><li>Bachelor’s degree with 6 to 8 years of experience in Software Engineering, Data Science or Machine Learning Engineering OR</li><li>Diploma with 10 to 12 years of experience in Software Engineering, Data Science or Machine Learning Engineering.</li></ol>Experience with building and evaluating LLM applications.Good foundation in machine learning algorithms and techniques.Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).<h3>Preferred Qualifications:</h3><ol><li>Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics in healthcare/biotech.</li><li>Knowledge of NLP techniques for text analysis and sentiment analysis.</li><li>Experience with AWS, Azure, or Google Cloud.</li></ol><h3>Soft Skills:</h3><ol><li>Initiative to explore alternate technology and approaches to solving problems.</li><li>Skilled in breaking down problems, documenting problem statements, and estimating efforts.</li><li>Excellent analytical and solving skills.</li><li>Strong verbal and written communication skills.</li><li>Ability to work effectively with global, virtual teams.</li><li>High degree of initiative and self-motivation.</li><li>Ability to handle multiple priorities successfully.</li><li>Team-oriented, with a focus on achieving team goals.</li></ol><h3>What you can expect of us</h3>As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.<h3>Apply now</h3>for a career that defies imaginationObjects in your future are closer than they appear. Join us.careers.amgen.comAmgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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<div>We are looking for a tech lead who can lead our data science ML and AI projects with business teams and deliver scalable and impactful solutions. You will be responsible for execution and delivery of our projects with a team of data scientists and ML engineers, overseeing the design, development, and deployment of ML and AI products, and collaborating with stakeholders across the organization. You will also have the opportunity to work on cutting-edge technologies and contribute to the advancement of our pharma domain knowledge.Responsibilities<ul><li>Lead and mentor a team of ML and data scientists and provide technical guidance and feedback</li><li>Define and execute the strategy and roadmap for the business</li><li>Design, develop, and deploy end-to-end ML and AI products that can scale and handle large volumes of data</li><li>Work closely with teams to understand their needs and provide solutions that meet their objectives and expectations</li><li>Research and evaluate new technologies and frameworks and incorporate them into the existing pipeline</li><li>Ensure the quality, performance, and reliability of the ML and AI products and adhere to the best practices and standards</li></ul>Basic QualificationsDoctorate degree and 2 years of experienceORMaster’s degree and 4 years of experienceORBachelor’s degree and 6 years of experienceORAssociate’s degree and 10 years of experienceOrHigh school diploma / GED and 12 years of experiencePreferred Qualifications<ul><li>Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field</li><li>At least 6 years of experience in ML and AI engineering, with proven track record of leading and delivering successful projects</li><li>Strong knowledge and hands-on experience in ML and AI technologies, such parametric and non-parametric models. Knowledge in Generative AI stack would be a plus</li><li>Proficient in Python, SQL, and other programming languages and tools for data analysis and ML</li><li>Experience in working with cloud platforms, such as AWS, Azure, or GCP, and using their ML and AI services</li><li>Experience in the pharma industry or related domains is a plus</li><li>Excellent communication, collaboration, and problem-solving skills</li><li>Passionate about learning new technologies and staying updated with the latest trends in ML and AI</li></ul>ThriveWhat you can expect of usAs we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:<ul><li>Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.</li><li>A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan</li><li>Stock-based long-term incentives</li><li>Award-winning time-off plans and bi-annual company-wide shutdowns</li><li>Flexible work models, including remote work arrangements, where possible</li></ul>Apply nowfor a career that defies imaginationObjects in your future are closer than they appear. Join us.careers.amgen.comAmgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</div>
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Data Scientist Jobs in Oregon, IL

Lead Data Scientist Remote Data Scientist IvDecember 15, 2024

Lead Data Scientist Customermarketing DomainDecember 15, 2024

Data Scientist Operations ResearchDecember 11, 2024

Lead Data Scientist Remote Data Scientist IvDecember 10, 2024

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