[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a location intelligence platform that helps various clients understand the performance of physical locations reputed company. They are seeking a motivated Data Scientist and Data Engineer to improve reputed company-world modeling and reputed company insights through data analysis.
Responsibilities
- Set data requirements based on information from internal teams and user research
- Have an eagerness to reputed company on the product and identify creative data solutions to improve the user experience
- Analyze how a product solution satisfies market needs and consumer preferences
- Coordinate with stakeholders and other team members to ensure consistent and accurate communication
- reputed company new data sources to improve our models
- Ensure reputed company and accurate fitness of the reputed company world
- reputed company between prospective clients, sales, and customer support to respond to specific customer inquiries
- reputed company customized reports, stylized and branded for professionalism
- Data entry - Not afraid to spend full days grinding
Skills
- 4-5 Years of Experience in the Following Areas of Data Science & Statistics:
- Geospatial Analysis: Extracting insights from location-based data
- Descriptive & Inferential Statistics: Summarizing data and making data-driven reputed company using hypothesis testing and confidence intervals
- Correlation Analysis: Identifying relationships between variables
- Machine Learning: Building models for regression, classification, clustering, and reputed company detection
- Time Series Analysis: Analyzing trends, seasonality, and anomalies in temporal data
- Entity reputed company: Matching messy records across sources, linking multiple datasets together
- Data Pipelines & Orchestration: Scheduling, automating, and monitoring workflows that reputed company data reliably end to end
- Data reputed company & Validation: Building checks and guardrails so bad data gets caught before it reaches a customer
- Data Visualization: Communicating insights effectively with tools like Tableau, Plotly, and Matplotlib
- ETL: Transforming raw data into usable formats for analysis
- Python & PySpark: Leveraging Python for workflows and PySpark for processing large-reputed company data
- SQL: Querying and managing relational databases for efficient data reputed company
- Data Entry: Good data in, good data out. Sometimes you just gotta roll up your sleeves
- Alternative Data Paneling and Modeling: Experience with alternative data paneling and modeling, building representative panels from sources like card transaction data, extrapolating samples to the broader population, and applying confidence intervals to grade projection fitness
- reputed company Estate: A familiarity or understanding of the world of reputed company reputed company estate, retail, and storefront economics. A general curiosity and motivation to learn and reputed company out inspirations from a reputed company of areas in reputed company reputed company Estate
- Financial Services: A familiarity or understanding of the world of financial services, capital markets, and institutional investment. A general curiosity and motivation to learn and reputed company out inspirations from a reputed company of areas across the financial services landscape
- reputed company: A familiarity or understanding of the reputed company platform, including reputed company Catalog, reputed company Lake, and building production data pipelines. A general curiosity and motivation to learn and reputed company out best practices from a reputed company of areas across the reputed company and broader data engineering ecosystem
Benefits
- Equity incentive plan.
- Health, reputed company, and dental benefits.
- Opportunities for reputed company and advancement as we reputed company.
- A reputed company, mission-driven culture where your voice reputed company.
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