The US job market shows strong demand for data scientists across various industries. This field includes roles focused on data analysis, 8,869 Data Scientist jobs in the United States
Data Scientist - Predictive Analytics
77001 Houston, Texas
$130000 Annually
WhatJobs
Posted 19 days ago
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Job Description
Our client, a fast-growing technology company, is seeking a talented Data Scientist to join their fully remote team and drive innovation through advanced predictive modeling. This role is ideal for individuals who are passionate about leveraging data to uncover insights and build sophisticated algorithms that solve complex business challenges.
As a Data Scientist, you will be at the forefront of developing and deploying machine learning models to forecast trends, optimize operations, and enhance customer experiences. You will work with large, diverse datasets, applying a range of statistical and machine learning techniques. Collaboration with engineering and product teams will be key to integrating these models into our core products and services. The ability to communicate complex findings clearly to both technical and non-technical audiences is essential.
Key Responsibilities:
We are looking for candidates with a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 5 years of professional experience in data science or machine learning is required, with a strong portfolio of predictive modeling projects. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) are essential. Familiarity with big data technologies (e.g., Spark, Hadoop) and SQL is highly desirable. Excellent analytical, problem-solving, and communication skills are critical for this remote role.
As a Data Scientist, you will be at the forefront of developing and deploying machine learning models to forecast trends, optimize operations, and enhance customer experiences. You will work with large, diverse datasets, applying a range of statistical and machine learning techniques. Collaboration with engineering and product teams will be key to integrating these models into our core products and services. The ability to communicate complex findings clearly to both technical and non-technical audiences is essential.
Key Responsibilities:
- Design, develop, and implement machine learning models for predictive analytics.
- Clean, process, and analyze large and complex datasets from various sources.
- Conduct exploratory data analysis to identify patterns, trends, and opportunities.
- Evaluate and compare different modeling approaches to determine the most effective solutions.
- Deploy models into production environments and monitor their performance.
- Collaborate with software engineers to integrate models into applications and platforms.
- Communicate complex analytical findings and recommendations to stakeholders through visualizations and reports.
- Stay up-to-date with the latest advancements in data science and machine learning.
- Contribute to the continuous improvement of data science infrastructure and workflows.
- Mentor junior data scientists and share knowledge within the team.
We are looking for candidates with a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 5 years of professional experience in data science or machine learning is required, with a strong portfolio of predictive modeling projects. Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) are essential. Familiarity with big data technologies (e.g., Spark, Hadoop) and SQL is highly desirable. Excellent analytical, problem-solving, and communication skills are critical for this remote role.
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Data Scientist - Predictive Analytics
75201 Dallas, Texas
$125000 Annually
WhatJobs
Posted 20 days ago
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Job Description
Join our client's innovative graduate program as a Data Scientist specializing in Predictive Analytics in **Dallas, Texas, US**. This is a fully remote position, offering unparalleled flexibility for top talent. You will work at the forefront of machine learning and statistical modeling, developing sophisticated algorithms to predict future trends, identify opportunities, and mitigate risks across various business domains. Your responsibilities will include data acquisition, cleaning, and preprocessing from diverse sources, conducting exploratory data analysis, building and validating predictive models, and deploying these models into production environments. You will collaborate with cross-functional teams, including product managers, engineers, and business analysts, to translate complex data insights into actionable strategies. The ideal candidate possesses a strong academic background in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics), demonstrable experience with programming languages such as Python or R, and proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with big data technologies (e.g., Spark, Hadoop) and database management (SQL) is also crucial. We are looking for curious, analytical minds with a passion for uncovering patterns in data and a drive to solve challenging problems. This role offers extensive opportunities for professional development, mentorship from industry experts, and the chance to make a significant impact on our client's strategic initiatives. As a graduate hire, you will be part of a cohort undergoing a structured onboarding and training program designed to accelerate your career growth within the company. Embrace the opportunity to work remotely and contribute to cutting-edge data science projects.
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Junior Data Scientist - Predictive Analytics
10001 New York, New York
$25 Hourly
WhatJobs
Posted today
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Job Description
A globally recognized financial technology firm is offering a unique opportunity for a motivated and analytical Junior Data Scientist to join their innovative team through a fully remote internship. This program is designed to provide hands-on experience in applying data science principles to real-world business challenges within the finance sector. You will work alongside experienced data scientists and engineers, contributing to projects focused on predictive modeling, customer analytics, and risk assessment. The ideal candidate will possess a strong foundation in statistical modeling, machine learning algorithms, and programming languages such as Python or R. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, building and evaluating predictive models, and visualizing data to communicate insights effectively. This internship emphasizes learning and development, offering exposure to cutting-edge tools and methodologies used in data-driven decision-making. We are looking for a curious and proactive individual who is eager to learn, contribute to team projects, and develop their skills in a collaborative, remote-first environment. This is an excellent stepping stone for aspiring data scientists looking to gain practical experience and build a strong foundation for their career in the fintech industry.
Responsibilities:
Responsibilities:
- Assist in cleaning, transforming, and preparing large datasets for analysis.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop and implement predictive models using machine learning algorithms.
- Evaluate model performance and iterate on approaches.
- Create data visualizations to effectively communicate findings.
- Collaborate with senior data scientists on project tasks.
- Document code, methodologies, and results.
- Contribute to team discussions and problem-solving sessions.
- Learn and apply new data science techniques and tools.
- Assist in reporting on key data insights.
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with SQL for data extraction and manipulation.
- Excellent analytical and problem-solving skills.
- Strong desire to learn and grow in the field of data science.
- Ability to work independently and effectively in a remote setting.
- Good communication and collaboration skills.
- Enthusiasm for the financial technology industry is a plus.
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2
Junior Data Scientist - Predictive Analytics
33601 Tampa, Florida
$25 Hourly
WhatJobs
Posted 1 day ago
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Job Description
Our client is offering an exceptional opportunity for a motivated Junior Data Scientist to join their innovative team as an Intern. This hybrid role is based in Tampa, Florida, US , providing a dynamic learning environment where you can gain practical experience in predictive analytics. You will work alongside seasoned data scientists, contributing to real-world projects and developing valuable skills in data manipulation, statistical modeling, and machine learning.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and implementation of statistical models and machine learning algorithms for predictive analysis.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Contribute to the visualization of data and model results for presentations.
- Collaborate with team members on research and development of new analytical approaches.
- Assist in the documentation of data models, methodologies, and findings.
- Participate in team meetings and contribute to project discussions.
- Learn and apply new data science techniques and tools under guidance.
- Help in evaluating model performance and suggesting improvements.
- Gain exposure to various industry applications of data science.
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning principles.
- Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Familiarity with SQL for data querying.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work with large datasets.
- Good written and verbal communication skills.
- Eagerness to learn and a proactive attitude.
- Ability to work effectively in a hybrid team environment.
- Prior internship or project experience in data analysis or machine learning is a plus.
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3
Junior Data Scientist - Predictive Analytics
27601 Chapel Hill, North Carolina
$45000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is looking for an ambitious and intellectually curious Junior Data Scientist to join their innovative team as part of a graduate program in Raleigh, North Carolina, US . This internship offers a unique opportunity to gain hands-on experience in predictive analytics, machine learning, and data modeling within a dynamic business environment. The successful intern will assist senior data scientists in collecting, cleaning, and analyzing large datasets to identify trends, build predictive models, and generate actionable insights. Responsibilities include supporting the development and implementation of machine learning algorithms, performing statistical analysis, visualizing data, and documenting findings. The intern will work with various data sources and tools, contributing to projects that drive business decisions and improve operational efficiency. We are seeking candidates who have a strong foundation in mathematics, statistics, and computer science, with demonstrated proficiency in programming languages such as Python or R. Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow) is highly desirable. The ideal candidate is eager to learn, possesses excellent analytical and problem-solving skills, and can work effectively both independently and as part of a team. This is a hybrid role, requiring a balance of on-site collaboration and remote work, offering flexibility while ensuring active participation in team activities. Strong communication skills, both written and verbal, are essential for presenting findings and collaborating with colleagues. This internship is designed to provide a comprehensive learning experience, setting the stage for a successful career in data science. Applicants should be currently pursuing or have recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
Internship Responsibilities:
Internship Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Support the development of predictive models.
- Perform statistical analysis and hypothesis testing.
- Visualize data and present findings.
- Collaborate with senior data scientists on ongoing projects.
- Learn and apply new data science techniques.
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4
Junior Data Scientist, Predictive Analytics
28202 Newell, North Carolina
$70000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is actively seeking enthusiastic and driven Junior Data Scientists to join their fully remote graduate program. This is an exceptional opportunity for recent graduates or individuals early in their data science careers to gain hands-on experience in predictive analytics and machine learning. You will work alongside senior data scientists, contributing to projects that leverage data to drive business insights and innovation. The role involves data cleaning, exploratory data analysis, model development, and evaluation. You will have the chance to apply various statistical techniques and machine learning algorithms to real-world datasets. This remote-first position offers a structured learning environment, mentorship, and the opportunity to develop a strong foundation in data science.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement predictive models using statistical methods and machine learning algorithms.
- Evaluate model performance and provide insights for improvement.
- Collaborate with senior data scientists and stakeholders to understand project objectives.
- Visualize data and model results to communicate findings effectively.
- Contribute to the documentation of data science processes and methodologies.
- Stay updated on the latest advancements in data science and machine learning.
- Participate in team meetings and contribute to project discussions.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Basic knowledge of SQL and database querying.
- Excellent analytical and problem-solving skills.
- Good communication and collaboration skills.
- Ability to work independently and manage time effectively in a remote setting.
- A strong desire to learn and grow in the field of data science.
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5
Senior Data Scientist, Predictive Analytics
68101 Omaha, Nebraska
$140000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Senior Data Scientist specializing in Predictive Analytics to join their innovative team in **Omaha, Nebraska, US**. This role is crucial for leveraging large datasets to develop sophisticated predictive models that drive business decisions and optimize operational efficiency. The ideal candidate will possess a strong quantitative background (M.S. or Ph.D. in Statistics, Mathematics, Computer Science, or a related field) and a proven track record of applying data science techniques to solve complex business problems. You will be responsible for the entire lifecycle of predictive modeling projects, from data exploration and feature engineering to model development, validation, and deployment. Collaboration with business stakeholders, domain experts, and other data professionals will be key. Responsibilities include:
- Developing and implementing advanced predictive models using statistical and machine learning techniques.
- Cleaning, transforming, and analyzing large, complex datasets to identify patterns and insights.
- Performing feature engineering and selection to optimize model performance.
- Validating and evaluating model accuracy and robustness using appropriate metrics.
- Deploying predictive models into production environments and monitoring their performance.
- Communicating complex analytical findings and recommendations to technical and non-technical audiences.
- Collaborating with business stakeholders to define project objectives and translate business needs into analytical problems.
- Staying current with the latest advancements in data science, machine learning, and artificial intelligence.
- Mentoring junior data scientists and contributing to the team's knowledge base.
- Developing and maintaining documentation for data science projects and methodologies.
- Exploring new data sources and analytical approaches to enhance predictive capabilities.
- Contributing to the development of data strategy and best practices.
- Designing and conducting A/B tests to measure the impact of implemented models.
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6
Junior Data Scientist, Predictive Analytics
53703 Madison, Wisconsin
$90000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is a forward-thinking organization dedicated to leveraging data to drive business decisions and innovation, and they are actively seeking a talented Junior Data Scientist to join their team in a fully remote capacity. This is an exceptional opportunity for an enthusiastic individual eager to apply their skills in predictive analytics and machine learning to solve complex business problems. You will work alongside experienced data scientists, contributing to the development, implementation, and validation of predictive models. Responsibilities include data cleaning, feature engineering, model training, and evaluating model performance using statistical methods. The ideal candidate will have a strong foundation in statistics, machine learning algorithms, and programming languages such as Python or R. Experience with data visualization tools and SQL is also required. You will be involved in exploring datasets, identifying patterns, and communicating findings to both technical and non-technical stakeholders. This fully remote role requires strong analytical and problem-solving abilities, attention to detail, and a proactive approach to learning and development. We are looking for a collaborative team player with excellent communication skills who is passionate about uncovering insights from data and contributing to data-driven decision-making. This position offers significant opportunities for professional growth and mentorship within a supportive and intellectually stimulating environment. You will gain hands-on experience with cutting-edge technologies and contribute to projects that have a real business impact, all while enjoying the flexibility of a remote work arrangement. This role is designed for a recent graduate or early-career professional looking to build a solid foundation in data science.
Key Responsibilities:
Key Responsibilities:
- Assist in the development and implementation of predictive models and machine learning algorithms.
- Perform data extraction, cleaning, and transformation from various sources.
- Conduct exploratory data analysis to identify trends and insights.
- Build and evaluate machine learning models for classification, regression, and clustering tasks.
- Collaborate with senior data scientists on model validation and deployment.
- Create clear and concise data visualizations to communicate findings.
- Write efficient and well-documented code in Python or R.
- Work with databases using SQL for data retrieval and manipulation.
- Stay updated on the latest advancements in data science and machine learning.
- Support the team in generating reports and presentations on analytical results.
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7
Senior Data Scientist - Predictive Analytics
46204 Indianapolis, Indiana
$155000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Data Scientist to lead advanced analytics initiatives and develop sophisticated predictive models. This role is instrumental in extracting actionable insights from complex datasets to drive strategic decision-making across the organization. You will be responsible for designing, developing, and deploying machine learning models that forecast trends, identify patterns, and optimize business processes. The ideal candidate will possess a strong theoretical foundation in statistics, machine learning, and data mining, coupled with extensive practical experience in applying these techniques to solve real-world problems. You will work with large-scale datasets, utilizing a variety of tools and programming languages such as Python, R, SQL, and specialized machine learning libraries. Collaboration with business stakeholders, data engineers, and other data scientists will be crucial to translate business requirements into analytical solutions. Key responsibilities include data exploration and preparation, model building and validation, performance monitoring, and communicating complex findings to both technical and non-technical audiences. This position offers a stimulating environment for a data scientist passionate about leveraging data to uncover opportunities and solve challenging problems. The role is based in Indianapolis, Indiana, US , but offers a fully remote work arrangement, providing flexibility and the ability to work from anywhere. We are looking for an analytical, curious, and results-oriented individual with excellent communication skills and a proven ability to deliver high-impact data science solutions.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement predictive models and machine learning algorithms.
- Perform exploratory data analysis to identify trends and patterns.
- Clean, transform, and prepare large datasets for modeling.
- Validate and evaluate model performance using appropriate metrics.
- Deploy models into production environments and monitor their effectiveness.
- Communicate complex analytical findings and recommendations to stakeholders.
- Collaborate with data engineers to build and maintain data pipelines.
- Stay current with the latest advancements in data science and machine learning.
- Mentor junior data scientists and share best practices.
- Contribute to the development of the organization's data strategy.
Qualifications:
- Ph.D. or Master's degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in data science or a related analytical role.
- Expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages such as Python or R.
- Strong experience with SQL and database systems.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Proven ability to work independently and as part of a team.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
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8
Junior Data Scientist - Predictive Analytics
30303 Atlanta, Georgia
$25 Hourly
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and analytical Junior Data Scientist to join their growing team in Atlanta, Georgia, US . This internship offers an exceptional opportunity for an aspiring data professional to gain hands-on experience in predictive modeling, machine learning, and data analysis within a dynamic business environment. You will work closely with senior data scientists and engineers to contribute to projects that leverage data to drive business insights and solutions. The ideal candidate will have a strong academic background in a quantitative field, a passion for data, and a desire to learn and apply advanced analytical techniques.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of machine learning models for predictive analytics.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Help in evaluating model performance and iterating on models to improve accuracy.
- Create data visualizations and reports to communicate findings to technical and non-technical stakeholders.
- Collaborate with team members on data-related projects and initiatives.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the documentation of data processes, models, and findings.
- Participate in team meetings and contribute ideas for new analytical approaches.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Solid understanding of fundamental statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
- Basic knowledge of SQL for database querying.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis is a plus.
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