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Staff Product Data Scientist

mlabsNew York, New York, United States
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Ideal candidates will possess a strong background in statistical analysis, machine learning, and data visualization. Proficiency in programming languages such as Python or R, along with experience in SQL databases is essential. A Master's degree in a related field is preferred, accompanied by a minimum of 3-5 years of relevant experience. Strong analytical skills, a problem-solving mindset, and the ability to communicate complex data insights effectively are crucial for success in this role.

About the job

Data Scientist

Location: New York

On-site | Full-time

Compensation: Competitive

Join a leading technology development firm driving innovation at the forefront of digital asset launchpads. Our client operates with cutting-edge technologies, ensuring ultra-low latency and high throughput in the ever-evolving crypto landscape. This role is pivotal, as every technical deployment directly impacts a vast global audience.

We are on the lookout for a skilled and adaptable Data Scientist who thrives in a dynamic and demanding environment. This position offers the freedom to unearth impactful opportunities, create advanced analytical solutions, and quantify their effects on products enjoyed by millions worldwide. Be part of a high-caliber team that champions first-principles thinking, ownership, and independence in a challenging ecosystem.

Key Responsibilities

  • Experimentation & Optimization: Create, execute, and assess rigorous A/B tests to enhance user experience and engagement.
  • Proactive Analysis: Uncover hidden issues and growth prospects through thorough data exploration.
  • Insight Visualization: Develop and sustain comprehensive dashboards to monitor essential KPIs and illustrate complex user behaviors.
  • Predictive Modeling: Craft advanced models to analyze user behavior and forecast outcomes in a fast-paced environment.
  • Cross-Functional Collaboration: Collaborate with product and engineering teams to implement data-centric solutions ensuring technical feasibility.
  • Project Ownership: Lead data initiatives from problem identification to solution execution and post-deployment assessment.
  • Technical Communication: Simplify complex statistical insights into clear, actionable narratives for diverse stakeholders.
  • Methodological Standards: Contribute to refining the organization’s data best practices and analytical methodologies.

Work Style & Environment

  • In-Person Collaboration: This role requires presence at our client's office.
  • Intensity: Candidates should be prepared for unconventional hours and a fast-paced atmosphere where expectations are high and outcomes are immediate.

About mlabs

mlabs is at the cutting edge of technology development, specializing in the intricate world of digital assets. We are committed to pushing the boundaries of performance and reliability, ensuring our systems operate flawlessly under high loads and low latency conditions. Our team is composed of top-tier professionals dedicated to excellence and innovation in a fast-paced industry.

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