Velocitor Solutions · 3 days ago
Data Scientist
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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.
Qualification
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Required
Master’s or PH.D. in Data Science, Statistics, Computer Science, or a related field.
Minimum of 3 years of hands-on 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.