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38 Adidev Technologies Research Jobs Hiring Near You

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

ML/AI Engineers

Austin, TX · On-site

About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier ... research, especially in Generative AI, applying the latest findings and techniques to drive ...

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Adidev Technologies Jobs Information

What are the key skills and qualifications needed to thrive as a Researcher, and why are they important?

To thrive as a Researcher, you need strong analytical skills, attention to detail, and a relevant academic background, usually with at least a bachelor's or master's degree in your field. Familiarity with data analysis tools (such as SPSS, R, or Python), literature databases, and sometimes research certifications like CITI training are commonly required. Critical thinking, curiosity, and effective communication help researchers excel in synthesizing information, collaborating with peers, and presenting findings. These competencies enable rigorous, credible studies that advance knowledge and inform evidence-based decisions.

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

Professionals in research roles often encounter challenges such as securing funding, managing tight deadlines, and navigating ambiguous or inconclusive data. To address these, it's important to develop strong project management skills, maintain open communication with stakeholders, and stay adaptable when adjusting research methodologies. Collaborating closely with team members and seeking mentorship can also help overcome obstacles and promote successful outcomes.

What are research jobs?

Research jobs involve systematically investigating topics to discover new knowledge, analyze data, or solve specific problems. Professionals in these roles may work in academic, scientific, corporate, or government settings, conducting experiments, gathering data, and publishing findings. Common positions include research assistants, analysts, and scientists, each contributing to advancements in their field. Research jobs require strong analytical skills, attention to detail, and the ability to communicate results effectively. These positions are essential for driving innovation and informed decision-making.

What is the difference between Research vs Data Analyst?

AspectResearchData Analyst
Required CredentialsDegree in research-related fields, often with specialized certificationsDegree in statistics, data science, or related fields; certifications like SAS or Tableau
Work EnvironmentAcademic, corporate R&D, or market research settingsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutes, corporationsCompanies, consulting firms, government agencies
Common Search & ComparisonResearch vs Data Analyst

Research professionals focus on generating new knowledge, conducting experiments, and analyzing data to support hypotheses. Data analysts interpret existing data sets to provide actionable insights for decision-making. While both roles involve data analysis, research emphasizes hypothesis testing and knowledge creation, whereas data analysis centers on data interpretation for business or operational purposes.

What are the most popular job types at Adidev Technologies?
    What are the most popular jobs at Adidev Technologies?
    What are the most popular categories at Adidev Technologies?
    Infographic showing various Research job openings at Adidev Technologies in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 78% Physical, 13% Hybrid, and 9% Remote job distribution.
    DATA SCIENTIST

    DATA SCIENTIST

    Adidev Technologies Inc

    Austin, TX • On-site

    Full-time

    Posted 6 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)

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