Job Title : Data Scientist
Location : Cary North Carolina, / Irving, TX
Duration : Months
- Typical task breakdown and rhythm
- Interaction level with team
- Team Structure
- Work environment description Typical task breakdown :
- Data Collection & Preparation : Gather, clean, and validate data from various sources to ensure quality and usability
- Exploratory Data Analysis : Identify trends, anomalies, and patterns in large datasets
- Model Development : Design and implement machine learning models (, regression, classification, clustering, NLP) to support forecasting and decision-making
- Data Visualization : Create dashboards and reports using tools like Power BI, etc., to communicate findings
- Automation & Optimization : Develop scripts and tools to automate data processing and model deployment
- Collaboration : Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals
- Research & Innovation : Stay current with emerging technologies and methodologies in data science and apply them to business challenges
Interaction with team :
Primarily working with + folks, working with business ( technical team and partners )Work environment :
Onsite Full timeCandidate Requirements
Years of experience requiredDegrees or certifications requiredTop SkillsDisqualifiers / OverqualificationsPerformance indicators Education & Experience Required :Years of experience : + years (regardless of level of degree)Degree requirement : Bachelors and / or Masters are requiredDo you accept internships as job experience : YesRequired Technical Skills
(Required)
Proficiency in Python, SQL, and data science libraries (, Pandas, Scikit-learn, TensorFlow)Strong foundation in statistics, probability, and machine learningFamiliarity with cloud platforms (, Azure, AWS, Snowflake) and data modelingExcellent communication skills to explain technical concepts to non-technical stakeholdersSoft Skills
(Required)
Excellent communicationBusiness acumen