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Wilcore is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact a Wilcore HR representative to request such an accommodation by emailing hr@wilcore.io. Compensation At Wilcore, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements, a range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level. United States Wage Range: $120,000 – $160,000
Data Scientist II
Location
United States
Posted
95 days ago
Salary
0
Job Description
Data Scientist II
Wilcore Technologies Inc.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Scientist II, you will play a pivotal role in transforming complex data into actionable insights that drive strategic business decisions. You will be responsible for: - Designing, developing, and deploying advanced analytical models and machine learning algorithms to solve challenging problems across various domains. - Collaborating closely with cross-functional teams to translate business needs into data-driven solutions that enhance operational efficiency and customer experience. - Conducting continuous experimentation, validation, and refinement of models to ensure accuracy and scalability. - Enabling the organization to leverage data as a critical asset for innovation and competitive advantage. Qualifications - Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. - 3+ years of professional experience in data science, analytics, or a related role. - Proficiency in programming languages such as Python or R for data analysis and model development. - Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. - Strong knowledge of statistical analysis, data mining, and data visualization techniques. - Familiarity with SQL and working with relational databases. Requirements - Master’s degree or higher in a quantitative discipline. - Experience with big data technologies such as Spark, Hadoop, or cloud-based data platforms. - Knowledge of deep learning techniques and natural language processing. - Familiarity with containerization and orchestration tools like Docker and Kubernetes. - Experience working in an Agile development environment. Responsibilities - Develop, test, and implement predictive models and machine learning algorithms to address business challenges. - Analyze large, complex datasets to identify trends, patterns, and opportunities for optimization. - Collaborate with product managers, engineers, and stakeholders to understand requirements and deliver data-driven solutions. - Communicate findings and insights effectively through data visualizations, reports, and presentations to both technical and non-technical audiences. - Maintain and improve existing data pipelines and analytical tools to ensure data quality and accessibility. - Stay current with emerging data science techniques, tools, and best practices to continuously enhance analytical capabilities. Skills In this role, your programming skills in Python or R will be essential for cleaning, analyzing, and modeling data on a daily basis. You will leverage your expertise in machine learning frameworks to: - Build and refine predictive models that address complex business problems. - Efficiently extract and manipulate data from large databases using SQL, ensuring the accuracy and relevance of your analyses. - Translate technical findings into clear, actionable insights for diverse stakeholders. - Utilize familiarity with big data tools and cloud platforms to scale solutions and integrate them seamlessly into production environments.
Job Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 3+ years of professional experience in data science, analytics, or a related role.
- Proficiency in programming languages such as Python or R for data analysis and model development.
- Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch.
- Strong knowledge of statistical analysis, data mining, and data visualization techniques.
- Familiarity with SQL and working with relational databases.
- Master’s degree or higher in a quantitative discipline.
- Experience with big data technologies such as Spark, Hadoop, or cloud-based data platforms.
- Knowledge of deep learning techniques and natural language processing.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience working in an Agile development environment.
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