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Overnight Python Data Science Jobs in Texas (NOW HIRING)

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

... science, data engineering, analytics, or related field * Bachelor's degree in a technical field (or additional experience in lieu of degree) * Strong experience with Python (data manipulation ...

Gen AI developer

Irving, TX

$116K - $157K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field 7-10+ years of experience developing scalable applications, including AI/ML systemsStrong expertise in Python and ...

... data scientists' analysts and product teams to translate requirements into technical solutions. • Optimize existing data workflows for performance and scalability Participate in code reviews ...

Data Science Architect

Mckinney, TX · On-site

$59 - $76/hr

The ideal candidate will have strong expertise in Data Science, Machine Learning, Python, SQL, cloud technologies, data architecture, and MLOps, with the ability to translate complex business and ...

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks. * Hands-on ...

Python Data Engineer Location : Dallas, TX (Hybrid) | Contract What you'll do: • Be a part of a ... What you'll need: • Bachelor's or Master's degree in Computer Science or related engineering ...

New

AI / ML Engineer TECHM-JOB-29139

Dallas, TX · On-site

$113K - $136K/yr

Responsibilities : • At least 7 years of experience as a Client Engineer, with fluency and experience in Python, Data Science, Data Engineering & MLOPS • Knowledge in RESTful API design and ...

Data Science Tutor

San Marcos, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Arlington, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Overnight Python Data Science information

What is an overnight Python data science job?

Overnight Python Data Science jobs involve working night shifts to perform data analysis, build models, or process data using Python programming. These roles may include tasks like cleaning datasets, running automated pipelines, and generating reports for teams that operate on a 24-hour cycle. Such positions are common in industries that require round-the-clock data monitoring or support, such as finance, healthcare, or IT operations. Professionals in these roles typically have experience with Python, data science libraries, and may collaborate with global teams across different time zones.

What skills and qualifications are needed to thrive as an overnight Python data science professional?

To thrive as an Overnight Python Data Science professional, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and machine learning concepts, often backed by a degree in a quantitative field. Familiarity with tools such as Jupyter Notebook, Pandas, Scikit-learn, and data visualization libraries, along with experience using databases and cloud platforms, is typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours help you excel in this role. These skills and qualities are vital for efficiently analyzing data, building reliable models, and delivering actionable insights in a time-sensitive, often autonomous overnight environment.

What are the main challenges of working as an overnight Python data science professional, and how can I succeed in this role?

Working as an Overnight Python Data Science professional often means handling data pipelines, model monitoring, and urgent troubleshooting during hours with limited team support. The main challenges include quickly resolving unexpected data issues, maintaining high attention to detail during late hours, and communicating findings to daytime teams. Success in this role relies on strong problem-solving skills, proactive communication (such as clear shift handovers), and the ability to work independently while following established protocols. Building robust documentation and automating regular tasks can also help manage workload and reduce errors.

What is the difference between Overnight Python Data Science vs Data Analyst?

AspectOvernight Python Data ScienceData Analyst
Required SkillsPython, data analysis, machine learning, statistical modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote or night shifts, tech-focused companies, data-driven rolesOffice-based or remote, business or marketing departments
Industry UsageTech, finance, e-commerce, healthcareRetail, finance, marketing, consulting

Overnight Python Data Science roles focus on advanced data analysis, machine learning, and programming skills, often requiring night shifts and remote work. Data Analysts typically handle data visualization, reporting, and basic analysis during regular hours. Both roles are essential in data-driven industries but differ in technical complexity and work schedules.

What cities in Texas are hiring for Overnight Python Data Science jobs?

Cities in Texas with the most Overnight Python Data Science job openings:

Senior Data Scientist - ML, Python

San Antonio, TX • On-site

Abode TechZone, LLC
Recruiting and Staffing Services • 11 - 50 employees

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Abode TechZone, LLC is seeking a Senior Data Scientist with expertise in machine learning and statistical modeling. The role involves coding and testing analytical models, implementing best practices, and utilizing various data science techniques to provide analytical solutions for the business.
Responsibilities:
• Responsible for coding and testing customized analytical models of medium to high degree of complexity.
• Must be able to implement best practices when writing and testing code.
• Familiarity with the life cycle of a data science project and extensive experience with python and XGboost, Arima/Sarima is a must.
• Requires strong interpersonal and communication skills, operational Elasticsearch knowledge and ability to construct GUI interfaces.
• Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
• Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
• Proven experience in developing models using Regression, Decision trees, Bayesian networks, Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
• Proven experience in building and implementing Timeseries and forecasting models.
• Experience in Deep Learning model development using TensorFlow, Keras, PyTorch.
• Hands on experience in building ML workflows.
• Experience in Model implementation, Governance, and monitoring.
• Responsibilities include Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.
• Working experience in Python, R and SQL.
• Experience in Python data science packages such as numPy, SciPy and SciKit-learn.
Qualifications:
Required:
• Strong expertise in data science, machine learning, and statistical modeling.
• Proficiency in tools and languages such as Python, SQL, pySpark, ML packages.
• Expertise in building – XGBoost type classification models and ARIMA/SARIMA type forecasting models.
• Bachelor's or Master's degree in Mathematics, Physics, Data Science, Statistics, AI/ML.
• Good experience in quantitative analytics or data science.
• Familiarity with the life cycle of a data science project and extensive experience with python and XGboost, Arima/Sarima is a must.
• Requires strong interpersonal and communication skills, operational Elasticsearch knowledge and ability to construct GUI interfaces.
• Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
• Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
• Proven experience in developing models using Regression, Decision trees, Bayesian networks, Random Forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
• Proven experience in building and implementing Timeseries and forecasting models.
• Experience in Deep Learning model development using TensorFlow, Keras, PyTorch.
• Hands on experience in building ML workflows.
• Experience in Model implementation, Governance, and monitoring.
• Responsibilities include Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.
• Working experience in Python, R and SQL.
• Experience in Python data science packages such as numPy, SciPy and SciKit-learn.
Preferred:
• Fluent with Natural Language Processing and text analytics libraries (NLTK, SpaCy).
• Experience with Data Science Platforms (Dataiku, H2o, Azure...).
• Experience with one of Subversion/SVN, Git, GitHub, GitLab, Mercurial, or other version control system.
• Experience with cloud platforms AWS, Azure, GCP a plus.
• Knowledge in Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka.
• Familiar working in an AGILE environment.
Company:
Abode TechZone LLC is fast growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Founded in 2019, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.

Abode TechZone logo

About Abode TechZone

Sourced by ZipRecruiter

Abode is fast-growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Abode’s vision is to provide best ever IT’s Staff Solutions services with an effective strategy which can address market fluctuations in key areas, such as time, cost, risk, flexibility, control, and expertise. We target to connect our partners with the best professional talent you need.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2019

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