Data Scientist

SelectMinds

United States

United States

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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 DallasFort 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 teamsincluding Network Operations, Ground Operations, and Crewto 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.
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United States

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English

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