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Apprentice Data Scientist Machine Learning Jobs in Texas

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team ... As a part of our team, you will leverage your analytical skills and expertise in machine learning ...

They are seeking a Data Scientist with extensive experience in data mining and machine learning to tackle business analytics challenges. Qualifications : Required : • Minimum 8 years of relevant ...

AI/ML Data Scientist Location: Dallas, TX (Onsite) Key Responsibilities ... Translate business problems into well-defined machine learning and predictive modeling objectives.

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

... Machine Learning, Data Science, Operations Research, or Computer Science. • A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial ...

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Data Scientist

San Antonio, TX · On-site

$130K - $150K/yr

Data Scientist Location: San Antonio, TX Full-Time About the Role We are seeking an experienced ... Perform statistical analysis, machine learning, and exploratory data analysis * Develop dashboards ...

Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes Be involved in the design and development of machine learning ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Applied Scientist

Austin, TX

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

Applied Scientist

Austin, TX

$175K - $308K/yr

  • Medical

  • Dental

  • Retirement

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

TX · On-site

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Showing results 41-60

Apprentice Data Scientist Machine Learning information

What is the difference between Apprentice Data Scientist Machine Learning vs Data Scientist?

AspectApprentice Data Scientist Machine LearningData Scientist
Required CredentialsBasic degree, entry-level certificationsAdvanced degree (Master's or PhD), specialized certifications
Work EnvironmentInternships, training programs, entry-level projectsFull-time roles in various industries, independent project work
Employer & Industry UsageStartups, tech companies, research labsCorporate, finance, healthcare, tech firms
Search & Comparison IntentLearning path, entry-level roles, trainingCareer advancement, expertise, senior roles

In summary, Apprentice Data Scientist Machine Learning roles are entry-level positions focused on learning and skill development, often requiring basic education and certifications. Data Scientists typically hold advanced degrees and have more experience, working independently on complex projects across various industries. The main difference lies in experience level, responsibilities, and career stage.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Texas? The most popular types of Data Scientist Machine Learning jobs in Texas are:
What cities in Texas are hiring for Apprentice Data Scientist Machine Learning jobs? Cities in Texas with the most Apprentice Data Scientist Machine Learning job openings:

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Re-posted 27 days ago


Job description

Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. 
Qualifications: 
  • Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R  along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

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