The Principal Machine Learning Scientist will design, develop, and deliverMachine ... Performs data analysis, feature engineering and model development using a variety of analytic ...
New
The Principal Machine Learning Scientist will design, develop, and deliverMachine ... Performs data analysis, feature engineering and model development using a variety of analytic ...
New
Senior Data Scientist
Kearneysville, WV · On-site
$133K - $169K/yr
Proactively research and recommend emerging AI, machine learning, and advanced analytics ... learning models and data science solutions using Python. * Proven experience building and ...
Senior Data Scientist
Kearneysville, WV · On-site
$133K - $169K/yr
Proactively research and recommend emerging AI, machine learning, and advanced analytics ... learning models and data science solutions using Python. * Proven experience building and ...
Senior Data Scientist
Kearneysville, WV · On-site
$63 - $68/hr
Role Summary A senior data scientist is responsible for leading the development and integration of advanced artificial intelligence and machine learning models within enterprise data platforms. This ...
Senior Data Scientist
Kearneysville, WV · On-site
$63 - $68/hr
Role Summary A senior data scientist is responsible for leading the development and integration of advanced artificial intelligence and machine learning models within enterprise data platforms. This ...
WV · On-site
$200K/yr
About the role Coalition's machine learning models are only as good as the data they're trained on ... Work with ML engineers, data scientists, and product managers to translate model requirements into ...
WV · On-site
$200K/yr
About the role Coalition's machine learning models are only as good as the data they're trained on ... Work with ML engineers, data scientists, and product managers to translate model requirements into ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
AI/ML Engineer - Clearance Required with Security Clearance
True, WV · On-site
$110K - $195K/yr
The AI/ML Engineer (Data Scientist) is responsible for developing, validating, and operationalizing analytic models, statistical methods, and machine learning approaches that support readiness ...
AI/ML Engineer - Clearance Required with Security Clearance
True, WV · On-site
$110K - $195K/yr
The AI/ML Engineer (Data Scientist) is responsible for developing, validating, and operationalizing analytic models, statistical methods, and machine learning approaches that support readiness ...
Temporary Data Scientist Machine Learning information
What is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?
| Aspect | Temporary Data Scientist Machine Learning | Temporary Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithms | Bachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools |
| Work Environment | Project-based, collaborative teams, tech-focused companies | Business units, reporting teams, data-driven departments |
| Employer & Industry Usage | Tech firms, finance, healthcare, e-commerce | Retail, marketing, finance, consulting |
Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.
What does a temporary data scientist specializing in machine learning do?
A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.
What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?
To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.
What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?
As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
What are the most commonly searched types of Data Scientist Machine Learning jobs in West Virginia? The most popular types of Data Scientist Machine Learning jobs in West Virginia are:
What are popular job titles related to Temporary Data Scientist Machine Learning jobs in West Virginia? For Temporary Data Scientist Machine Learning jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Temporary Data Scientist Machine Learning jobs in West Virginia look for? The top searched job categories for Temporary Data Scientist Machine Learning jobs in West Virginia are:
What cities in West Virginia are hiring for Temporary Data Scientist Machine Learning jobs? Cities in West Virginia with the most Temporary Data Scientist Machine Learning job openings:
Full-time
Medical, Life, Retirement, PTO
Posted 3 days ago
New
Job description
At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
The Principal Machine Learning Scientist will design, develop, and deliverMachine LearningbasedPredictive and Forecastingsolutions that will enhance and add value to new and existingReal Estateand propertydata assets for broad industryapplicationsand aligned with business and market requirements.Example solutionisHouse Pricing Indexmodel.Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques. Performs data analysis, feature engineering and model development using a variety of analytic techniques, tools, and programming languages to provide business insights and analytic products.
Job Responsibilities:
Create data derivation and linkage through algorithms and/or data rules.
Create and select predictive features from raw data.
Create model reports for stakeholder review and model documentation.
Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling techniques for unknown or less well-defined - an unknown problem, solve new problems (e.g., clustering, logistic regression, deep learning, support vector machines, boosting trees, supervised and unsupervised models).
Develop analytics using Python, SQL and other big data tools such as BigQuery(BQ), DataPrep and Jupyter Notebook.
Perform complex data analysis on large volumes of property and consumer data and present model performance to stakeholders.
Provide data science and analytic support for the Enterprise Data Solutions Group (EDSG) and interact with other EDSG teams as well as other business units.
QA and analyze large amounts of data to create appropriate data sets for model building.
Prepare and maintain programs and documentation for analytic models.
Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.
Act as a consultant to EDSG's data management and data technology teams.
Lead and provide technical leadership on data science project with other data scientists, data engineers, and data analysts.
Job Qualifications:
Master's Degree or higher in economics, artificial intelligence, data science, computer science, math, statistics or engineering field, or equivalent work experience.
Ability to thrive in a team environment and adapt to quickly changing priorities.
7+ years of directly related experience.
Strong problem solving and analytical ability.
Strong communication skills.
Ability to quickly and efficiently adapt to new concepts.
Demonstrated knowledge of statistical techniques.
Data mining/data analysis experience.
Strong working knowledge in multiple analytic development tools, statistical tools, programming languages, and big data tools.
Working knowledge in cloud platform (e.g. AWS, GCP), cloud-based sandbox environment and analytics sandbox and libraries.
Ability to work collaboratively with cross-function teams and business units.
Demonstrated general business acumen; experience working in a real estate and mortgage related data industry a plus.
Ability to lead small team in technical projects.
Patents and publications in data science field a plus
#LI-Remote
Annual Pay Range:
134,400 - 190,000 USDApplication Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
2026-08-11Thrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include:
Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
Health: Multiple medical plan options with mental health and wellness support offerings.
Retirement: 401(k) with company match and vesting after one year.
Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!
Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range
Cotality is an Equal Opportunityemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. Cotalitymaintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences.
Privacy Policy
Global Applicant Privacy Policy
By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.
Connect with us on social media! Click on the quicklinks below to find out more about our company and associates