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Mathematical Optimization Remote Jobs in Texas (NOW HIRING)

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Contribute to the design of model evaluation and optimization workflows Scientific Communication ...

USAA

Data Scientist Senior

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops scalable, automated solutions using machine learning, simulation, and optimization to ...

USAA

Data Scientist Senior

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops scalable, automated solutions using machine learning, simulation, and optimization to ...

David Joseph & Company

AI Engineer

Austin, TX · On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... Architect and implement robust RAG workflows -- vector database management, embedding optimization ...

USAA

Software Engineer I

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Relational database design and optimization with Gosu Query language; * Batch Process Design ...

EQT Corporation

Senior Support Analyst

Houston, TX · On-site +1

... remote users. * Supports end-users on various types of software programs to ensure they work ... optimal workstation performance. * Provides Service Desk Call Center and deskside support.

LegalZoom

Business Finance Manager

Austin, TX · On-site +1

$94K - $151K/yr

LegalZoom supports a remote-friendly environment that gives employees flexibility and balance. Our ... The optimal candidate will possess excellent interpersonal, project management, and critical ...

Roofstock

Asset Manager

Dallas, TX · Remote

... remote opportunities. Our growth includes recent acquisitions of Stessa (financial and asset ... This team player will be intimately familiar with the mechanics of optimizing rental properties ...

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All JobsMathematical Optimization Remote JobsMathematical Optimization Remote Jobs in Texas

Mathematical Optimization Remote information

What are some common challenges faced by professionals in remote mathematical optimization roles, and how can they be addressed?

Remote mathematical optimization professionals often encounter challenges such as limited real-time collaboration with team members, managing complex problem-solving tasks independently, and ensuring effective communication of technical findings to non-technical stakeholders. To address these challenges, it's helpful to establish regular virtual meetings, use collaborative tools for sharing code and results, and develop clear documentation. Additionally, proactively seeking feedback and staying engaged with the broader team can help maintain alignment and foster innovation.

What is a Mathematical Optimization Remote job?

A Mathematical Optimization Remote job involves using mathematical techniques and algorithms to solve optimization problems, such as maximizing efficiency or minimizing costs, while working from a remote location. Professionals in this field apply optimization theory, modeling, and computational methods to real-world problems in industries like logistics, finance, engineering, and data science. Remote roles allow for flexibility, enabling collaboration with teams and clients online while leveraging specialized software and programming languages such as Python, MATLAB, or R.

Can dyslexia affect math?

Dyslexia primarily impacts reading and language processing, but it can also affect math skills, especially in areas involving word problems, sequencing, and symbol recognition. In a mathematical optimization role, strong analytical and technical skills are essential, and individuals with dyslexia can succeed by utilizing tools like visual aids, software, and accommodations to support their learning and performance.

Why did Finn stop saying mathematical?

There is no known connection between the job of Mathematical Optimization Remote and someone named Finn stopping to say 'mathematical.' If this refers to a specific individual or context, it is unrelated to the job role, which involves applying mathematical techniques to optimize processes remotely. The phrase may be a personal or humorous reference rather than a professional or industry-related change.

Is Royal Holloway good for maths?

Royal Holloway offers a reputable mathematics program with strong research and teaching quality, making it a solid choice for students interested in mathematics. For those pursuing a mathematical optimization remote role, a solid foundation in advanced mathematics and familiarity with relevant tools like programming languages or optimization software are beneficial. The university's curriculum can support skills needed for such roles.

What is the difference between Mathematical Optimization Remote vs Data Analyst Remote?

AspectMathematical Optimization RemoteData Analyst Remote
Required CredentialsDegree in Mathematics, Operations Research, or related field; proficiency in optimization softwareDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with teams on complex modeling projectsRemote, focused on data collection, visualization, and reporting
Industry UsageFinance, logistics, supply chain, tech companiesMarketing, finance, healthcare, tech companies
Common Search/ComparisonYesNo

Mathematical Optimization Remote specialists focus on developing algorithms to optimize processes and decision-making, often requiring advanced mathematical skills. Data Analysts Remote interpret data to provide insights, using statistical tools. While both roles are remote and involve data, they differ in technical focus and industry applications.

What are the key skills and qualifications needed to thrive as a Mathematical Optimization Specialist working remotely, and why are they important?

To thrive as a Mathematical Optimization Specialist in a remote setting, you need a strong background in mathematics, operations research, or computer science, often supported by an advanced degree. Proficiency with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python or R, and familiarity with cloud-based collaboration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills help you stand out when collaborating with distributed teams and stakeholders. These skills and qualities are crucial for efficiently developing, implementing, and explaining optimization solutions in a remote work environment.
What are the most commonly searched types of Mathematical Optimization jobs in Texas? The most popular types of Mathematical Optimization jobs in Texas are:
What are popular job titles related to Mathematical Optimization Remote jobs in Texas? For Mathematical Optimization Remote jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization Remote jobs in Texas look for? The top searched job categories for Mathematical Optimization Remote jobs in Texas are:
What cities in Texas are hiring for Mathematical Optimization Remote jobs? Cities in Texas with the most Mathematical Optimization Remote job openings:
Mathematical Optimization Remote jobs near you
DATA SCIENTIST

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • Remote

Full-time

Posted 8 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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