Surge Technology Solutions Inc
Overview
Type: W2 or 1099…….. (No C2C) Visa: H1B, H4EAD, GCEAD, L2, OPT, CPT, Green Card, US Citizens (Only USA Applicants) Workplace Type: Cary – NC or Dallas/Irving, TX Locations Experience: 5 Yrs Position’s Contributions to Work Group
A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Responsibilities
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 (e.g., 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 10 folks, working with business (technical team and partners) Education & Experience Required
Years of experience: 5 years (regardless of level of degree) Degree requirement: Bachelors and/or Masters are required Required Technical Skills: Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow) Strong foundation in statistics, probability, and machine learning Familiarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modeling Excellent communication skills to explain technical concepts to non-technical stakeholders Soft Skills: Excellent communication, Business acumen Disqualifiers / Red Flags / Overqualifications
Choppy tenure Notes
Any project done outside of work (Data Science work) is also welcome. If the candidate isn’t local at this time, we are not interested in reviewing those resumes at this time. Please share your resume and contact details to krithik_r@surgetechinc.com/ kaviya_t@surgetechinc.com or call on 832-404-6193 Ext — 113
#J-18808-Ljbffr
Type: W2 or 1099…….. (No C2C) Visa: H1B, H4EAD, GCEAD, L2, OPT, CPT, Green Card, US Citizens (Only USA Applicants) Workplace Type: Cary – NC or Dallas/Irving, TX Locations Experience: 5 Yrs Position’s Contributions to Work Group
A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Responsibilities
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 (e.g., 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 10 folks, working with business (technical team and partners) Education & Experience Required
Years of experience: 5 years (regardless of level of degree) Degree requirement: Bachelors and/or Masters are required Required Technical Skills: Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow) Strong foundation in statistics, probability, and machine learning Familiarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modeling Excellent communication skills to explain technical concepts to non-technical stakeholders Soft Skills: Excellent communication, Business acumen Disqualifiers / Red Flags / Overqualifications
Choppy tenure Notes
Any project done outside of work (Data Science work) is also welcome. If the candidate isn’t local at this time, we are not interested in reviewing those resumes at this time. Please share your resume and contact details to krithik_r@surgetechinc.com/ kaviya_t@surgetechinc.com or call on 832-404-6193 Ext — 113
#J-18808-Ljbffr