Data Scientist
About the role
We're hiring on behalf of a Haystack partner!
The Role
- Utilize data exploration, cleaning, analysis, visualization, and mining techniques to extract insights.
- Develop and deploy algorithms and systems for complex data analysis.
- Create ETL pipelines, query APIs, and condition data for storage.
- Design and develop automated analytic software, techniques, and algorithms.
- Translate complex data sets into actionable intelligence for informed decision-making.
- Work with clients to understand their needs and deliver data-driven solutions.
What You'll Need
- Proven experience in data exploration, cleaning, analysis, visualization, data science, or data mining.
- Proficiency with programming languages for data analysis such as Python, R, or SQL.
- Experience in creating ETL pipelines, including API querying and data conditioning.
- Knowledge of version control tools like Git, GitLab, GitHub, or Bitbucket.
- Understanding of statistical analysis, predictive modeling, and machine learning methodologies.
- Ability to develop automated analytic software and algorithms.
What's On Offer
- Competitive annual salary of $77,600 - $176,000 plus bonus potential.
- Comprehensive benefits package including health, life, and retirement plans.
- Opportunities for professional development and tuition assistance.
- A culture that values employee contributions and supports work-life integration.
Apply via Haystack today!
Responsibilities
- Utilize data exploration, cleaning, analysis, visualization, and mining techniques to extract insights.
- Develop and deploy algorithms and systems for complex data analysis.
- Create ETL pipelines, query APIs, and condition data for storage.
- Design and develop automated analytic software, techniques, and algorithms.
- Translate complex data sets into actionable intelligence for informed decision-making.
- Work with clients to understand their needs and deliver data-driven solutions.
Qualifications
- Proven experience in data exploration, cleaning, analysis, visualization, data science, or data mining.
- Proficiency with programming languages for data analysis such as Python, R, or SQL.
- Experience in creating ETL pipelines, including API querying and data conditioning.
- Knowledge of version control tools like Git, GitLab, GitHub, or Bitbucket.
- Understanding of statistical analysis, predictive modeling, and machine learning methodologies.
- Ability to develop automated analytic software and algorithms.
Benefits
- Competitive annual salary plus bonus potential.
- Comprehensive benefits package including health, life, and retirement plans.
- Opportunities for professional development and tuition assistance.
- A culture that values employee contributions and supports work-life integration.
Skills mentioned
About Haystack
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.
H-1B sponsorship history
Historical employer filing data was found for Haystack. The employer record includes 1 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.