Senior Data Scientist - Analytics
United States
Applications have closed
Coalition, Inc.
As the world’s first Active Insurance provider, Coalition combines comprehensive cyber insurance and cybersecurity tools to help prevent digital risks.Coalition is the leading provider of cyber insurance and security, combining comprehensive insurance and proactive cybersecurity tools to help organizations be resilient to cyber attacks. Cyber losses cost the global economy upwards of $1.5 trillion each year, and yet the majority of businesses are under-insured and under-prepared to manage and mitigate the risks of an increasingly digital world. Coalition is addressing this gap by providing no-cost cybersecurity tools to prevent losses, security and incident response services to contain them, and comprehensive insurance to help organizations recover from failures and breaches. We serve over 42,000 customers, ranging from small and midsize businesses to Fortune 500 companies.
Founded in 2017, Coalition has raised $300M from leading global technology investors, including Index Ventures, General Atlantic, Ribbit Capital, Vy Capital, Hillhouse Capital, and Valor Equity Partners, among others. Headquartered in San Francisco, Coalition's team is global with employees based across the United States, Canada, the United Kingdom, Switzerland and Portugal.
About The Role
Coalition is looking for an experienced data scientist to join our rapidly growing team of data scientists and manage the systems and processes responsible for accurate data collection, processing, modeling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
This role will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for the data science team to follow. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units.
Responsibilities
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Oversee the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
- Organize and drive successful completion of data insight initiatives through effective collaboration with stakeholders and effective mentorship of junior data scientists.
- Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
- Manage a portfolio of analytics tools and platforms that empower data scientists, product managers, go-to-market teams, and other data consumers
- Simplify and improve data collection and reporting processes to automate manual workflows and eliminate manual dependencies
- Consolidate and optimize available data warehouse infrastructure, including newly emerging products and markets.
- Design and implement ETL processes and data architecture to ensure proper monitoring and performance of various big data systems.
- Carry out monitoring, tuning, and database performance analysis
- Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization.
Skills and Qualifications
- Expert SQL proficiency with proven competencies in designing well-architected data models, optimizing for query performance, and clearly documenting code
- 4-6+ years of experience in related analytical, business systems or data engineering fields
- Work in Tableau, Looker, or similar visualization / business intelligence platform
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
- Strong communication skills, with experience communicating and summarizing results and findings for a nontechnical audience
- Experience identifying appropriate statistical and/or algorithmic approaches to address business problem
- Experience working with and creating databases and dashboards using all relevant data to inform decisions.
- Experience using Python or R for exploratory and/or statistical analysis & modeling
- Experience with DBT or similar analytics workflow tools a big plus
- Bachelor's degree in computer science, statistics, mathematics or related field preferred
Bonus Points
- Understanding of big data and real-time processing systems and tools (Hadoop, Spark, Hive, Pig, MapReduce, Kafka, Storm etc.)
- Experience with data governance (defining procedures, establishing change management policies)
- Exposure to Apache Airflow or other DAG frameworks
- Experience with operational tools and business systems such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora
Recent press releases: Coalition Raises $175M to Build the Future of Commercial Insurance
Forbes.com - Next Billion-Dollar Startups 2020
Coalition is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
#LI-REMOTE
Tags: Airflow Amplitude AWS Big Data Business Intelligence Computer Science Data analysis Engineering ETL Hadoop Kafka Looker Mathematics Python R Security Spark SQL Statistics Tableau
Perks/benefits: Insurance Salary bonus Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs