Position: Data Scientist
Location: Remote (USA)
Employment Type: Full-Time
Experience Required: 6 months to 4 years
Work Authorization: Must have Valid USA Work permit
Annual Compensation: $60,000–$80,000, depending on qualifications and experience.
*Benefits:*
Health insurance: Medical, dental, and vision.
401(k) retirement plan (no employer matching contribution).
Paid vacation/PTO, subject to the employer's policy.
Paid sick leave in accordance with applicable Washington State law.
Other applicable employee benefits as provided by company policy.
_*Key Responsibilities:*_
Analyse large and complex datasets to identify trends, patterns, and business opportunities.
Develop, validate, and deploy statistical and machine learning models to support business objectives.
Write efficient SQL queries to extract, transform, and analyze data from multiple sources.
Utilize Python for data preparation, exploratory analysis, feature engineering, and predictive modeling.
Conduct hypothesis testing, statistical analysis, and model performance evaluation.
Translate technical findings into clear, actionable recommendations for business stakeholders.
Collaborate with cross-functional teams to define requirements, solve analytical challenges, and drive data-informed decisions.
Present insights and recommendations through visualizations, reports, and presentations.
_*Required Qualifications*_
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative discipline.
6 months to 4 years of relevant experience in data science, advanced analytics, or a related analytical role.
Strong proficiency in SQL for data extraction, manipulation, and analysis.
Strong proficiency in Python for data analysis and model development.
Experience building and evaluating machine learning models.
Strong understanding of statistical concepts, including regression, hypothesis testing, experimentation, and predictive analytics.
Strong analytical, critical-thinking, and problem-solving abilities.
Ability to communicate complex technical concepts to technical and non-technical audiences.
_*Preferred Qualifications:*_
Master's degree in Data Science, Statistics, Analytics, Machine Learning, Computer Science, or a related field.
Experience working with large-scale datasets in cloud environments (AWS, Azure, or Google Cloud Platform).
Familiarity with data visualization tools such as Tableau or Power BI.
Experience working in Agile environments and collaborating with cross-functional teams.
