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Day Shift Remote Python Machine Learning Jobs in DeSoto, TX

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ...

Research Engineer

Dallas, TX ยท On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code. - Comfortable working with large datasets for machine learning applications. Bonus/nice to have: - Master ...

Research Engineer

Dallas, TX ยท On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code. - Comfortable working with large datasets for machine learning applications. Bonus/nice to have: - Master ...

Research Engineer

Dallas, TX ยท On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code. - Comfortable working with large datasets for machine learning applications. Bonus/nice to have: - Master ...

Python developer, C# ,Informatica, SQL, Snowflake, python They will be evaluating a given product ... You will possess a passion for continuous learning and upskilling in new technologies and a flair ...

Python developer, C# ,Informatica, SQL, Snowflake, python They will be evaluating a given product ... You will possess a passion for continuous learning and upskilling in new technologies and a flair ...

Senior / Staff Perception Engineer

Dallas, TX ยท On-site +1

$158K - $269K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code. - Comfortable working with large datasets for machine learning applications. - Strong grasp of machine ...

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Day Shift Remote Python Machine Learning information

See DeSoto, TX salary details

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How much do day shift remote python machine learning jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for day shift remote python machine learning in DeSoto, TX is $57.37, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.14 per hour, depending on experience, location, and employer.

What is the difference between Day Shift Remote Python Machine Learning vs Data Analyst?

AspectDay Shift Remote Python Machine LearningData Analyst
Required SkillsPython, Machine Learning, Data ModelingExcel, SQL, Data Visualization
Work EnvironmentRemote, collaborative teams, tech-focusedRemote or on-site, business-focused
Industry UsageTech, AI, Data ScienceBusiness, Marketing, Finance

Day Shift Remote Python Machine Learning roles focus on developing algorithms and models using Python, often in tech industries. Data Analysts interpret data to inform business decisions, utilizing tools like Excel and SQL. While both roles may be remote and require analytical skills, Python Machine Learning positions emphasize coding and model building, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Day Shift Remote Python Machine Learning Engineer, and why are they important?

A Day Shift Remote Python Machine Learning Engineer needs strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science, mathematics, or a related field. Experience with libraries and tools such as TensorFlow, PyTorch, scikit-learn, Git, and cloud platforms is commonly required, along with relevant certifications being advantageous. Excellent problem-solving, self-motivation, and clear communication skills help individuals excel in a remote and collaborative environment. These abilities ensure effective model development, deployment, and teamwork while meeting project goals in distributed settings.

What are Day Shift Remote Python Machine Learning jobs?

Day Shift Remote Python Machine Learning jobs are positions where professionals use Python to develop, implement, and maintain machine learning models while working remotely during standard daytime hours. These roles often involve tasks such as data analysis, feature engineering, model training, and deployment. By working remotely, employees have flexibility in their work environment, while the day shift ensures alignment with typical business hours for collaboration. These jobs are popular in industries like tech, finance, healthcare, and more, where machine learning plays a crucial role in decision-making and automation.

How do remote Python Machine Learning professionals typically collaborate with team members during the day shift?

Remote Python Machine Learning professionals often use a variety of online collaboration tools, such as Slack, Zoom, and project management platforms, to communicate with team members throughout the workday. Daily stand-up meetings, code reviews, and shared repositories (like GitHub) help ensure alignment on project goals and progress. Collaboration also extends to pair programming sessions, brainstorming model improvements, and jointly troubleshooting data issues. Being proactive in communication and documentation is key to staying connected and productive in a remote day shift environment.
What job categories do people searching Day Shift Remote Python Machine Learning jobs in DeSoto, TX look for? The top searched job categories for Day Shift Remote Python Machine Learning jobs in DeSoto, TX are:
What cities near DeSoto, TX are hiring for Day Shift Remote Python Machine Learning jobs? Cities near DeSoto, TX with the most Day Shift Remote Python Machine Learning job openings:
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX โ€ข On-site, Remote

Full-time

Re-posted 21 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.