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Algorithm Scientist Jobs in Texas (NOW HIRING)

Welltower

Data Scientist

Dallas, TX · On-site

$125K/yr

Apply knowledge of machine learning techniques and algorithms. Apply experience with common data science toolkits from at least one of the following: R, MATLAB, and Python. Apply experience with data ...

Sonsoft Inc

Data Scientist

Plano, TX

Developing healthcare predictive and preventive algorithms and models * Ensuring solutions and ... Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at ...

The Hershey Company

Sr Data Scientist

Dallas, TX · On-site

As a Sr. Data Scientist, you will be challenged to work across teams and organizations to put theory into practice through experimentation and invention, develop new algorithms for complex problems ...

Hersheys

Sr Data Scientist

Dallas, TX · Hybrid

As a Sr. Data Scientist, you will be challenged to work across teams and organizations to put theory into practice through experimentation and invention, develop new algorithms for complex problems ...

Optym

Senior Data Scientist

Coppell, TX · On-site

Design and develop advanced machine learning models and statistical algorithms (including modern ... Mentor and guide junior data scientists and developers on best practices in data analysis, modeling ...

Optym

Senior Data Scientist

Coppell, TX · On-site +1

Design and develop advanced machine learning models and statistical algorithms (including modern ... Mentor and guide junior data scientists and developers on best practices in data analysis, modeling ...

Credit Union of Texas

Data Scientist

Allen, TX

Develop custom data models and algorithms to apply to data sets. Use predictive modeling to ... Master's degree in Data Science, Computer Science, related field or foreign equivalent. Required ...

Credit Union of Texas

Data Scientist

Allen, TX

Develop custom data models and algorithms to apply to data sets. Use predictive modeling to ... Master's degree in Data Science, Computer Science, related field or foreign equivalent. Required ...

Victory

Data Scientist

Austin, TX

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Victory

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Create predictive models and machine-learning algorithms * Modify and combine different models ...

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

... algorithms • Ensure data quality and integrity • Collaborate with cross-functional teams ... Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics ...

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Algorithm Scientist information

What degree do you need to be an algorithm engineer?

Algorithm scientists typically hold at least a bachelor's degree in computer science, electrical engineering, mathematics, or related fields. Many roles require a master's or Ph.D. for advanced research and development, along with strong programming skills in languages like Python or C++ and knowledge of data structures and algorithms.

Is AI a high paid job?

Algorithm Scientists and other AI-related roles are generally well-paid due to high demand for skills in machine learning, data analysis, and programming. Salaries vary based on experience, location, and industry, but AI jobs often offer competitive compensation compared to other tech roles.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with experience and advanced skills in areas like deep learning and big data tools. These roles typically require extensive experience, advanced degrees, and expertise in programming, statistical analysis, and data management.

Is 40 too late for data science?

As an Algorithm Scientist, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What are popular job titles related to Algorithm Scientist jobs in Texas? For Algorithm Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Algorithm Scientist jobs in Texas look for? The top searched job categories for Algorithm Scientist jobs in Texas are:
What cities in Texas are hiring for Algorithm Scientist jobs? Cities in Texas with the most Algorithm Scientist job openings:
Algorithm Scientist jobs near you
Data Scientist

Data Scientist

Welltower

Dallas, TX • On-site

$125K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Data Scientist


Job Location: 8115 Preston Road, Suite 400, Dallas, TX 75204

Rate of Pay:  $125,000


Data Scientist needed by Welltower, Inc. in Dallas, TX to Support the Business Insights team with Welltower’s data and analytics strategy and predictive analytics applications across the organization. Develop predictive models and scalable solutions to efficiently process, extract, and analyze large datasets for actionable business insights. Work on selecting features, defining metrics, and building or optimizing classifiers using advanced machine learning techniques and data-driven methodologies. Perform data analysis, mining, and statistical modeling using data engineering best practices. Integrate company data with third-party and external sources to enhance analytical accuracy and predictive performance. Analyze predictive model outputs to generate meaningful insights that inform Welltower’s investment and operational processes. Enhance data collection and transformation procedures to ensure completeness, consistency, and relevance for building analytical and predictive systems. Process, cleanse, and verify the integrity and quality of data used across projects. Conduct exploratory and ad-hoc analyses to identify trends, anomalies, and opportunities, and present findings in a clear and actionable manner to business stakeholders. Develop and maintain data-driven tools including chatbot applications and web-based dashboards, that streamline data access, automate reporting, and support real-time decision-making. Design and implement workflows that leverage large language models (LLMs) for text extraction, classification, and summarization to improve analytical efficiency. Collaborate with cross-functional teams to translate business requirements into technical specifications and deploy data solutions in production environments. Continuously monitor, evaluate, and improve model performance and data pipelines to maintain high-quality outputs and support Welltower’s strategic objectives. Apply understanding of the data and analytics landscape. Apply technical skills to include a deep understanding of (but not limited to): Reporting, Programming, Predictive Modeling, and Solution Architect. Apply knowledge of machine learning techniques and algorithms. Apply experience with common data science toolkits from at least one of the following: R, MATLAB, and Python. Apply experience with data mining and data visualization tools including Alteryx and RStudio. Apply skills in applied statistics including distributions, correlation, statistical testing, and regression analysis. Apply knowledge of enterprise profitability and business planning and forecasting.


Minimum Requirements: Requires a Master degree, or foreign equivalent degree, in Mathematics, Data Science, Computer Science, or Applied Statistics and 2 years of experience in the job offered or 2 years of experience in a related occupation applying understanding of the data and analytics landscape; applying technical skills to include a deep understanding of (but not limited to): Reporting, Programming, Predictive Modeling, and Solution Architect; applying knowledge of machine learning techniques and algorithms; applying experience with common data science toolkits from at least one of the following: R, MATLAB, and Python; applying experience with data mining and data visualization tools including Alteryx and RStudio; applying skills in applied statistics including distributions, correlation, statistical testing, and regression analysis; applying knowledge of enterprise profitability and business planning and forecasting.

REFER TO:  Job Code:  DATAS003370

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