Data Scientist
Listed on 2025-12-22
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineer
Position: Data Scientist (5 to 10 Years of Experience)
US Citizen/ Greencard Preferred
Overview:
A Data Scientist with 5 to 10 years of experience plays a pivotal role in leveraging data to uncover actionable insights, create predictive models, and drive informed decision-making within an organization. This role requires expertise in advanced analytics, machine learning, and problem-solving to extract meaningful value from large and complex datasets.
Key Responsibilities:
Data Analysis
- Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights.
- Apply statistical techniques to derive meaningful information from data.
Predictive Modeling
- Develop and deploy machine learning models to forecast trends, behaviors, and outcomes.
- Employ techniques such as regression analysis, clustering, and classification.
Data Visualization
- Design and present compelling visualizations to communicate findings effectively to technical and non-technical audiences using tools like Tableau, Power BI, or Python libraries.
Hypothesis Testing
- Formulate and validate hypotheses to support data-driven business decisions.
Feature Engineering
- Engineer and optimize features to enhance the performance of machine learning models.
Algorithm Development
- Build, test, and fine-tune algorithms, including decision trees, random forests, neural networks, and more, tailored to specific challenges.
Data Integration
- Collaborate with IT teams to integrate and access data from diverse sources and data warehouses.
Model Deployment
- Implement machine learning models in production to support real-time decision-making.
A/B Testing
- Design and analyze A/B tests to evaluate the impact of interventions and enhancements.
Data Ethics
- Ensure adherence to ethical data practices, including privacy standards and compliance with data protection regulations.
Cross-functional Collaboration
- Partner with engineers, business analysts, and domain experts to align data initiatives with organizational goals.
Mentorship
- Mentor and guide junior data scientists and analysts to foster their professional development.
Continuous Learning
- Stay abreast of the latest tools, techniques, and trends in data science through ongoing education and professional development.
Qualifications:
Education:
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). A Master’s or Ph.D. is preferred.
Experience:
- 5 to 10 years of hands-on experience in data science, including machine learning and statistical analysis.
Technical Skills:
- Proficiency in programming languages such as Python, R, or Julia.
- Solid understanding of machine learning algorithms and their practical applications.
- Expertise in data visualization tools (e.g., Tableau, Power BI) or Python libraries (e.g., Matplotlib, Seaborn).
- Strong skills in SQL for data manipulation and querying.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is an advantage.
Soft Skills:
- Excellent problem-solving and critical-thinking abilities.
- Strong communication skills to convey complex insights effectively to varied audiences.
Ethics and Compliance:
- Knowledge of data privacy, ethical considerations, and compliance frameworks.
Summary:
A seasoned Data Scientist with 5 to 10 years of experience is an invaluable contributor to any organization. This professional combines technical expertise, advanced analytics, and strategic thinking to transform data into actionable insights, optimize decision-making, and mentor emerging talent, ensuring sustainable growth in data-driven operations.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).