Enter Job Description A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets.
Key Responsibilities: - Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights. Use statistical techniques to uncover meaningful information from data.
- Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques.
- Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries.
- Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations.
- Feature Engineering: Engineer and select relevant features for machine learning models, enhancing their predictive power.
- Algorithm Development: Build and fine-tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem.
- Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses.
- Model Deployment: Deploy machine learning models in production environments to support real-time decision-making.
- A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements.
- Data Ethics: Ensure ethical data practices, including privacy and compliance with data protection regulations.
- Cross-functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals.
- Mentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth.
Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development.
EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.