Data Scientist

Select Minds LLC; Dallas (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Opportunity for advancement

Training & development

Job summary

A leading company seeks a Data Scientist to support integrated operations from their Dallas office. The role involves applying machine learning and AI to improve decision-making and process efficiencies. Candidates should be proficient in Python and SQL, with strong analytical skills and experience with data visualization tools. This position offers a hybrid work model with considerable opportunities for career advancement.

Qualifications

• Advanced experience in data science, machine learning, AI or optimization projects required.
• Strong understanding of statistical methods and model validation.
• Effective communication skills for technical and executive audiences.

Responsibilities

• Lead and contribute to data science, machine learning, and optimization projects.
• Collect, clean, analyze, and model large datasets.
• Develop predictive and prescriptive models to optimize operational performance.

Skills

Python

SQL

Problem-solving

Statistical methods

Machine learning

Data visualization

Education

Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

Pyspark

AWS cloud services

Job description

Benefits:

HYBRID

Competitive salary

Opportunity for advancement

Training & development

Job Title: Data Scientist – Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview Must be authorized to work in the U.S

Work Arrangement - Hybrid work model: primarily remote within the Dallas–Fort Worth area. - Occasional on-site presence required for meetings, training, or business needs. - Limited business travel may be required.

We are seeking a Data Scientist to support integrated operations by applying data science, machine learning, and artificial intelligence solutions to real-world business challenges. This role partners closely with operational teams—including Network Operations, Ground Operations, and Crew—to drive decision-making and process improvements through data-driven insights.

Roles & Responsibilities - Lead and contribute to data science, machine learning, AI, and optimization projects. - Collect, clean, analyze, and model large datasets to support business objectives. - Develop predictive and prescriptive models to optimize operational performance. - Communicate findings clearly to technical and non-technical stakeholders. - Collaborate with internal teams to deploy and maintain models in production. - Evaluate third-party tools, platforms, and techniques as needed. - Support the broader data science team through collaboration and knowledge sharing.

Required Qualifications

Education - Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience.

Experience - Advanced experience in data science, machine learning, AI, or optimization projects. - Proficiency in Python and SQL. - Strong understanding of statistical methods, experimental design, and model validation. - Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark). - Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).

Preferred Experience - Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR). - Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.

Skills & Abilities - Ability to independently manage and deliver on complex projects. - Strong problem-solving and critical thinking skills. - Effective communication skills for both technical and executive audiences. - Ability to adapt quickly to changing priorities and new technologies. - Strong interpersonal and collaboration skills.