TestHiring - Data Scientist

Data Scientist is needed in Dallas, United States.

Client: TestHiring

Location: Dallas, TX, us

Contract: Freelance

Job Description

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.

Requirements

• 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.

Additional Information

This role involves working with cutting-edge technologies and contributing to a data-driven culture that values innovation and impact.