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# Data Scientist

- **Company:** TEES SOUTHERN EATERY LLC
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $128,470.0 - $208,770.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Data Transformation, Data Visualization, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, SQL Databases, Tableau (Software), Data Processing, Pytorch, Apache Spark, Pandas, Matplotlib, Scikit Learn, Information Technology
- **Published:** May 20, 2026
- **Apply:** https://www.careerjet.com/jobad/us49ea2c6a6b2b7b49e48c353301270441

## About the Role

This is a remote position. Are you a highly analytical and creative Data Scientist passionate about uncovering insights that drive strategic business decisions? We are seeking a talented individual to join our dynamic team and leverage the power of data to solve complex problems, develop predictive models, and contribute to our growth trajectory in the Indian market. If you thrive in an environment where your analytical prowess directly impacts product development, operational efficiency, and customer experience, we encourage you to apply. As a Data Scientist, you will be instrumental in transforming raw data into actionable intelligence. You will collaborate with cross-functional teams, including product managers, engineers, and business leaders, to define problems, formulate hypotheses, and design innovative solutions. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to a data-driven culture that values innovation and impact., * Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * 3+ years of professional experience as a Data Scientist or in a similar analytical role, with a strong portfolio of projects. * Proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch) and SQL for data manipulation and analysis. * Strong understanding of statistical modelling, machine learning algorithms (e.g., regression, classification, clustering, time series), and experimental design. * Experience with big data technologies such as Spark, Hadoop, or similar distributed computing frameworks. * Demonstrated ability to translate complex business problems into actionable data science solutions. * Excellent communication, presentation, and storytelling skills with a proven ability to explain technical concepts to a non-technical audience. Qualifications

 * Ph.D. in a quantitative field. * Experience with cloud platforms such as AWS, Azure, or GCP. * Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). * Publications in reputable conferences or journals in data science or related fields.

## Description

* Develop, implement, and maintain advanced statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges across various domains. * Clean, transform, and analyze large, complex datasets from disparate sources to identify trends, patterns, and insights. * Design and execute A/B tests and other experimental designs to evaluate the impact of new features, products, or strategies. * Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical stakeholders through presentations, reports, and dashboards. * Collaborate with engineering teams to deploy models into production systems and monitor their performance. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies or techniques. * Mentor junior data scientists and contribute to building a strong data science community within the
organization.


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