Swooped · 4 hours ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

$120K/yr - $155K/yr

5+ years exp

Maximize your interview chances

Artificial Intelligence (AI)Human Resources

Insider Connection @Swooped

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Employ advanced data analysis and modeling techniques to derive actionable insights from various datasets.

Design, develop, and implement machine learning models and algorithms for both predictive and prescriptive analytics.

Apply data science to drive revenue growth and enhance user engagement on web and mobile platforms.

Contribute to feature engineering of product data to optimize model performance and interpretability.

Work closely with software engineers to deploy models in production systems and monitor their effectiveness.

Simplify complex findings and technical concepts for communication to non-technical stakeholders.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningPythonRSQLData VisualizationAWSAzureDeep LearningTensorFlowPyTorchFeature EngineeringStatistical ConceptsExploratory Data AnalysisELO-like algorithmsC#Belief Networks

Required

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.

Proven experience (5+ years) as a Data Scientist with a successful track record in solving real-world challenges using data-driven methods.

Strong programming skills in languages such as Python and R, along with experience using relevant libraries (e.g., pandas, scikit-learn, matplotlib, seaborn, pyplot).

Ability to compose complex SQL queries to extract and manipulate data from databases.

Familiarity with ELO-like algorithms.

Experience with cloud services (e.g., AWS, Azure).

Exposure to third-party platforms and APIs.

Expertise in data preprocessing, exploratory data analysis, data visualization, and feature engineering.

Proficiency in machine learning methods such as classification, regression, and clustering.

Experience in Deep Learning modeling using TensorFlow or PyTorch.

Strong understanding of statistical concepts and hypothesis testing.

Excellent problem-solving abilities and capacity to work collaboratively in cross-functional settings.

Strong written and verbal communication skills to present technical findings to both technical and non-technical teams.

Advanced proficiency in data visualization tools (e.g., Tableau, Power BI) to create impactful visual representations of insights.