Data Scientist

3 weeks ago

Charlotte, United States Ryan Consulting Group, LLC Full time

Title: Data Scientist

Location: South Charlotte (This role is 100% on-site,

Type: Full-time/Direct hire (Candidates must be able to work as a W2 employee, this role is not eligible for Corp to Corp or sponsorship)

Industry: Software Development

Pay: $100K - $130K (Based on relevant experience)

Please note: This role is not eligible for relocation assistance.


Position Objective:

We are seeking a highly skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will be passionate about leveraging data-driven insights to solve complex business problems. The Data Scientist will play a key role in designing and implementing advanced analytics solutions, employing statistical modeling, machine learning, and data visualization techniques. This position requires a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex findings to both technical and non-technical stakeholders. This is an individual contributor role that reports into the Director of Software Engineering.



Summary of Position:

A Data Scientist is responsible for extracting actionable insights from large and complex datasets using advanced analytical techniques, statistical modeling, and machine learning algorithms. They analyze and interpret data to identify trends, patterns, and correlations, providing valuable information for informed decision-making. Data Scientists collaborate with cross-functional teams, applying their expertise to address specific business challenges and generate innovative solutions. Additionally, they play a crucial role in data cleaning, preprocessing, and visualization, communicating complex findings to both technical and non-technical stakeholders. With a strong analytical mindset and continuous learning ethos, Data Scientists contribute to driving data-driven strategies and fostering innovation within the organization.

Responsibilities:

· Analyze large datasets to extract meaningful patterns, trends, and insights.

· Conduct exploratory data analysis to identify relevant features and variables.

· Develop and implement statistical models to predict future trends, customer behavior, and other business metrics.

· Apply advanced statistical techniques to derive actionable insights from complex data sets.

· Design and implement machine learning algorithms for predictive modeling, classification, and clustering.

· Evaluate and fine-tune models to ensure optimal performance.

· Clean, preprocess, and transform raw data into usable formats for analysis and modeling.

· Address missing data and outliers to ensure data quality.

· Create compelling data visualizations to communicate complex findings to both technical and non-technical audiences.

· Utilize tools such as Tableau, Power BI, or custom visualization libraries.

· Collaborate with cross-functional teams to understand business requirements and provide data-driven insights.

· Work closely with data engineers, analysts, and business stakeholders to ensure seamless integration of analytics solutions.

· Stay abreast of industry trends, emerging technologies, and best practices in data science.

· Propose and implement innovative solutions to enhance analytical capabilities.

· Provide development assistance and input on special projects as needed.

Education, Experience and Skills Required:

Master’s or PH.D. in Data Science, Statistics, Computer Science, or a related field is required.

· Minimum of 3 years of hands-on professional working experience in data science, machine learning, and statistical analysis.

· Proven track record of delivering actionable insights and implementing machine learning models in a business context.

· Proficiency in programming languages such as Python or R.

· Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-Learn).

· Strong SQL skills for data extraction and manipulation.

· Excellent verbal and written communication skills with the ability to convey complex findings to diverse audiences.

· Strong analytical and problem-solving skills, with attention to detail.

· Ability to work collaboratively in a team environment and contribute to a positive and innovative workplace culture.

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