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Product Scientist at In All Media Inc

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
India, Indonesia, Singapore

Offer summary

Qualifications:

Bachelor's degree in relevant field, Minimum 3 years of data analysis experience, Proficiency in Python, R, and SQL, Strong product sense and analytical skills, Experience collaborating with Engineers and Product Managers.

Key responsabilities:

  • Analyze and optimize onboarding/signup flow
  • Generate insights to boost user engagement
  • Collaborate with Engineers and Product Managers
  • Develop statistical models for product enhancements
  • Monitor trends and define success metrics
In All Media logo
In All Media
1001 - 5000 Employees
About In All Media
In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results. Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.
See more In All Media offers

Job description

Product Scientist

In All Media

InAllMedia is a leading technology services provider, specializing in delivering innovative solutions to clients across various industries. We pride ourselves on our commitment to excellence and our ability to adapt to the unique needs of our clients. We are currently seeking a talented Product Scientist to join our team and work with one of our most prestigious clients, a global leader in the job board industry.

Position Overview

As a Product Scientist within the Finsys Team, you will be integral to enhancing the onboarding and payment experiences for employers using one of the largest job boards worldwide. You will be responsible for analyzing and optimizing the signup flow for employers, identifying friction points, and generating actionable insights to boost user conversion on billing and payment pages. Your work will directly impact the initial journey and overall engagement across our client’s platform, focusing on billing and payments.

Key Responsibilities

  • Analyze and optimize the onboarding/signup flow for employers, identifying and addressing friction points to improve conversion rates.
  • Generate actionable insights that enhance user engagement on billing and payment pages, leading to increased conversion and user satisfaction.
  • Collaborate closely with Engineers and Product Managers from both InAllMedia and our client’s team to provide product-centric insights that inform the development of new features and improvements.
  • Develop and implement statistical models and analytical methods to support product enhancements.
  • Monitor key business trends and funnel performance, identifying drivers of user behavior and conversion.
  • Define and measure the success of product initiatives, using data-driven approaches to guide decision-making.
  • Continuously explore opportunities for business and product improvement, leveraging data and user feedback.

Must-Have Requirements:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, or a related quantitative field, or equivalent practical experience.
  • Minimum of 3 years of experience in data analysis, including extracting insights, performing statistical analysis, and solving business problems through coding.
  • Proficiency in Python, R, and SQL.
  • Strong product sense with the ability to analyze conversion funnels, key business trends, and understand the impact of various drivers on funnel conversion and feature usage.
  • Experience in identifying opportunities for product improvement and defining/measuring the success of these initiatives.
  • Proven ability to work collaboratively with Engineers and Product Managers, providing valuable insights that drive product development.

Nice to have Requirements:

  • Experience in time series forecasting, statistical and causal inference, and classification methods.

Benefits

  • 💵 USD Payment
  • 🕹100% remote
  • 🌎 Great Community
  • 💯 Full-time, long-term
  • 💪🏼Growth opportunities

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

R (Programming Language)Product KnowledgeCausal InferencePython (Programming Language)Statistical ClassificationTime Series Analysis And ForecastingStatistical AnalysisData-Driven Decision MakingSQL (Programming Language)Statistical InferenceData Analysis

Other Skills

  • Problem Solving
  • Collaboration
Are you interested?

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