Data Scientist – Machine Learning

Job Description

Junior Data Scientist | Haystack

The Tone:
This is a full-time role at Haystack, working on behalf of a partner, and is suitable for remote candidates in the United States. Haystack facilitates hiring for partners who are focused on delivering impactful data science solutions and insights. This position is critical for transforming complex data into actionable insights, developing advanced analytical models, and collaborating directly with clients to solve their unique challenges.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: Remote – United States
• Pay: $61900–$141000 yearly
• Mission: Transform complex data into meaningful insights and data-driven solutions for clients.

What You’ll Actually Do
• Analyze Data: Analyze complex structured and unstructured data sets to extract meaningful insights.
• Develop Models: Develop and implement machine learning, artificial intelligence, or natural language processing models.
• Create Predictions: Create predictive data models and perform quantitative analyses.
• Visualize Findings: Visualize data to communicate findings and support informed decision-making.
• Client Solutions: Collaborate with clients to understand their needs and translate them into data-driven solutions.

The Must-Haves
• Background: Experience as a data scientist with an understanding of structured and unstructured data sources, plus Machine Learning, Artificial Intelligence, or Natural Language Processing concepts.
• Experience: Hands-on experience with data exploration, cleaning, analysis, visualization, or mining, including the ability to develop predictive data models and perform quantitative analyses.
• Skills: Proficiency in statistical and general-purpose programming languages for data analysis, and the ability to deploy machine learning or natural language processing techniques.