100 Data Science jobs in Dallas County
Data Science Bootcamp
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Bootcamp
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Bootcamp
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Bootcamp
Posted 1 day ago
Job Viewed
Job Description
Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.
Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Lead
Posted 19 days ago
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Job Description
Location: Onsite -location is Dallas, TX & NY/NJ.
Job Type: FTE/FTC
Who are we looking for?
Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques.
The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.
We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.
Responsibilities:
- Lead data science and machine learning projects, contributing to model development, optimization and evaluation.
- Perform data cleaning, feature engineering, and exploratory data analysis.
- Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.
- Collaborate with other DS and engineers to deliver projects.
Technical Skills - Must have:
- Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.
- Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.
- Ability to translate complex machine learning problem statements into specific deliverables and requirements.
- Should have worked with major cloud platforms such as AWS, Azure or GCP.
- Working knowledge of SQL and no-SQL databases.
- Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.
- Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
- Strong understanding of evaluation and monitoring metrics for machine learning projects.
Technical Skills - Good to have:
- Track record of getting ML models into production
- Experience building chatbots.
- Experience with closed and open source LLMs.
- Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen.
- Certifications or courses in data science.
Education:
- Master's/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field.
Process Skills:
- Understanding of gile and Scrum methodologies.
- Ability to follow SDLC processes and contribute to technical documentation.
Behavioral Skills :
- Self-motivated and capable of working independently with minimal management supervision.
- Well-developed design, analytical & problem-solving skills
- Excellent communication and interpersonal skills.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
VP, Data Science
Posted 19 days ago
Job Viewed
Job Description
Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. As we continue to grow our operations, we are looking for a dynamic and strategic Vice President of Credit Risk Management to join our leadership team.
Principal Duties and Responsibilities
- Strategic Leadership
- Develop and execute a comprehensive credit risk management strategy aligned with the company's growth objectives.
- Stay abreast of industry trends, competitive practices, and regulatory changes to inform strategic decisions.
- Collaborate with the executive team to integrate credit risk considerations into overall business strategy.
- Portfolio Performance
- Help design and monitor portfolio reports, dashboards, and KPIs that allow executive management to measure portfolio profitability.
- Develop and maintain a strong relationship with Marketing, IT, Legal/Compliance and other functions to ensure alignment of Risk Management initiatives with Company objectives. Work with internal risk partners to improve the efficiency and effectiveness of the end-to-end programs for each business.
- Analyze the expected risk impacts and profitability of new products/Marketing channels. Make recommendations and execute strategy enhancements to improve profitability through creative Risk Management solutions.
- Work with product and marketing to set goals on different financial levers (first pay defaults, fund rates, cost of acquisition, profitability, etc.
- Innovation and Technology Integration
- Champion the adoption and integration of innovative technologies that enhance risk assessment processes, such as AI and data analytics tools.
- Explore opportunities to improve customer experience and operational efficiency through technology solutions.
- Team Leadership and Development
- Lead and mentor a high-performing risk management team, promoting a culture of innovation, accountability, and collaboration.
- Foster talent development and ensure team members have access to the training and development they need to excel.
- Regulatory Compliance and Governance
- Ensure all credit risk management practices are compliant with relevant laws and regulations.
- Collaborate with legal and compliance teams to develop risk policies and procedures that align with best practices and regulatory requirements.
- Stakeholder Engagement
- Build strong relationships with internal and external stakeholders, including executives, product teams, and regulatory bodies.
- Present credit risk strategies and findings to the board and senior leadership in a clear and compelling manner.
- Master's degree in Finance, Business Administration, Economics, or a related field; PhD preferred.
- 10+ years of experience in credit risk management within the financial services or online lending industry.
- Proven track record of strategic leadership and driving high-impact initiatives successfully.
- Strong expertise in credit risk modeling methods, including experience with machine learning techniques.
- Excellent understanding of regulatory requirements and best practices in credit risk management.
- Exceptional analytical skills, with the ability to synthesize complex data and make informed decisions.
- Proven ability to drive innovation using technology and data analytics.
- Strong interpersonal and communication skills, with the ability to influence at all levels of the organization.
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Manager, Data Science
Posted 2 days ago
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Job Description
Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team?
If yes, we have just the role for you.
Recruiting for this role ends on 12/31/2025.
The Work You'll Do
In Deloitte's Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations.
You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Your work will span from research to deployment of production-ready AI solutions, and continued development. Some of our current projects focus on generative AI, prompt engineering, LLMs, agentic systems, anomaly detection, clustering, and knowledge graphs.
As a Data Science Manager, you will lead the technical aspects of our Data Science projects and the development of AI and ML solutions. You will collaborate closely with audit subject matter experts, product teams, and software developers to develop use case requirements and bring solutions to production. You will manage Junior and Senior Data Scientists to complete the Data Science objectives that are required to fully develop and deploy production-level ML solutions. This includes performing or guiding research in an independent fashion and interacting closely with key stakeholders with varying levels of machine learning experience.
Specifically, you will be expected to:
+ Lead the application of rigorous data science within your workstream, managing and supervising junior resources through the entire data science development and deployment lifecycle
+ Collaborate with subject matter experts to obtain a deep understanding of the underlying business problem, and to define and refine the corresponding technical solution
+ Design and manage project plans, metrics, and OKRs that align with the group's mission of an AI-enabled audit
+ Identify and communicate risks that emerge in the development lifecycle
+ Stay up to date with the latest trends, techniques, and advancements in data science and identify opportunities for their application
+ Actively mentor Junior and Senior Data Scientists on professional development including regular feedback and staff touchpoints
+ Architect ML pipelines and actively contribute high-quality, production-ready code (readable, well-tested, with well-designed APIs)
+ Communicate complex concepts clearly and effectively through excellent written and verbal communication skills, ensuring alignment among team members and stakeholders
The team Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
QualificationsRequired:
+ Bachelor's degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics or related field)
+ 6+ years of relevant industry experience with design, development, and deployment of machine learning models
+ Experience being the technical lead for multiple project teams simultaneously
+ Expert understanding of the state of the art of two or more fields in artificial intelligence; NLP and generative AI, probabilistic graphical models, time-series analysis, weak supervised learning, etc.
+ Understanding of LLMs, prompt engineering, and use of evaluations in development and validation
+ Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews
+ Expert understanding of Python and other common languages
+ Demonstrated ability to lead the design and implementation of machine learning solutions with a focus on maintainability and scalability through the entire development life cycle
+ Extensive experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
+ Extensive experience with at least one cloud-based ecosystem (Azure, GCP, AWS)
+ Experience in an Agile working environment and at least one related project management tool (Azure DevOps, Jira, etc.)
+ Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)
+ Demonstrated ability to develop novel machine learning methods that go beyond putting together existing open-source code, and to apply problem-solving skills to complex issues
+ Solid understanding of Docker, Jenkins, Kubernetes, and other DevOps tools
+ You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
+ You should expect to co-locate with team members or other colleagues in a Deloitte office, at a client site and/or virtually, based on specific team and business expectations
+ Ability to travel up to 10%, on average, based on the type of work you perform and the clients served
+ Limited immigration sponsorship may be available
Preferred:
+ 10+ years of industry experience leading the design, development, and deployment of machine learning models
+ PhD in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
+ Prior scientific publication history. Outstanding academic track record as evidenced by top tier publications.
+ Strong project management and delivery experience, including budget oversight and staffing of project teams including time management
+ Extensive experience with Microsoft Azure, including certification in machine learning
+ Experience with machine learning pipelines (Azure ML/Databricks)
+ Experience with ML Ops and related governance processes, particularly within a regulated industry
+ Strong presentation skills using Microsoft Office suite (Visio, PowerPoint, etc.)
+ Understanding of the capital markets, and the role public accounting firms play
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 113,100 - $232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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Data Science Short-course
Posted 1 day ago
Job Viewed
Job Description
Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.
Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Short-course
Posted 1 day ago
Job Viewed
Job Description
Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.
Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.
Data Science Short-course
Posted 1 day ago
Job Viewed
Job Description
Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.
Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.
Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.