Jellyfish

Data Scientist Executive, Investment Analytics

Bengaluru, Karnataka, India

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Digital Marketing, AdvertisingIndustries

Job Description: Investment Analytics Data Scientist

Salary: [Not specified] Location Type: Remote Employment Type: Full-time

Company Description

At Jellyfish, we believe in the power of diverse perspectives and inclusive collaboration. We welcome individuals who excel in collaborative, varied teams and value the unique contributions that each person brings to the table. Jellyfish is a global digital marketing agency; a unique fusion of tech enthusiasts, creative minds, and media and data experts all united to empower our clients along their digital journey. Our commitment to embracing diverse perspectives fuels our innovation and strategies that challenge the status quo, reinvent media activation, and craft influential stories for our global clients and their customers. Join us in shaping a future where business growth and personal fulfilment go hand in hand.

Position Overview

Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients. You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients. Join us in our mission to deliver data-inspired excellence!

Responsibilities

  • Analyze data to discover hidden trends; deliver insights with clear applicable recommendations.
  • Work on EST hours (6:30 PM to 3:30 AM IST).
  • Explain and promote the use of data science methodologies such as Media Mix Models, Geo-based Incrementality Experiments, Causal Impact Studies, and other statistically sound testing approaches.
  • Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights.
  • Develop and implement Marketing Mix Models to improve media performance, customer experiences, revenue generation, and other outcomes.
  • Work with platform partners to grow the suite of mathematical techniques for Incrementality Testing, Media Mix Modeling, and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients.
  • Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organization.

Qualifications

  • Fluency in English.
  • Programming proficiency in Python and SQL.
  • 1+ years of experience in a data role.
  • Experience analyzing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics.
  • Proficiency in visualizing data using Tableau, Looker, Matplotlib, or equivalents.
  • Strong experience with the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app.
  • Skilled in media measurement methodologies such as media mix modeling, incrementality analysis, and attribution modeling.
  • Ability to seek and implement solutions to improve and automate processes.
  • Understanding of machine learning concepts with hands-on experience.
  • Collaborative mindset—value diverse perspectives, work well in teams, and are motivated by shared goals.
  • Problem-solving skills—work with others to explore options and identify practical solutions when faced with challenges.

Note: We emphasize skills, expertise, and behavioral attributes over years of experience and traditional degrees. If you want to join our collaborative team, we invite you to apply today with your resume in English.

Additional Information

Join Jellyfish and experience a workplace where we prioritize your growth, celebrate your contributions, and empower you to tailor your work environment to suit your needs.

  • Reward: Eligible to join our discretionary annual bonus scheme.
  • Custom Work Environment: Work remotely in a night shift model.
  • Growth, Your Way: Accumulate one paid day each month (2 hours per week) for self-development.

Skills

Data Analysis
Data Science
Marketing Mix Models
Geo-based Incrementality
Causal Impact Studies
Statistical Testing
Media Performance Optimization
Client Presentations
Paid Media

Jellyfish

Platform for engineering intelligence and strategy

About Jellyfish

Jellyfish offers a platform that integrates business and financial strategies into the Software Development Life Cycle (SDLC). It provides insights into engineering efforts, helping businesses improve planning and decision-making while identifying bottlenecks to enhance operational efficiency. The platform also tracks deliverable progress and focuses on team health by combining quantitative data with qualitative feedback. Jellyfish aims to improve the effectiveness of engineering teams, ensuring they can deliver value efficiently.

Boston, MassachusettsHeadquarters
2017Year Founded
$114MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees

Risks

Free DevEx product may cannibalize existing paid offerings, affecting revenue.
New managing director could lead to strategic shifts, causing internal disruptions.
Privacy concerns with Jellyfish Benchmarks may affect customer trust and retention.

Differentiation

Jellyfish aligns engineering efforts with business goals, enhancing strategic decision-making.
The platform offers unique insights into engineering data, improving planning and forecasting.
Jellyfish Benchmarks provides comparative performance data, setting it apart in engineering management.

Upsides

Increased demand for aligning engineering with business objectives boosts Jellyfish's market potential.
Availability on AWS Marketplace simplifies procurement, expanding Jellyfish's customer reach.
Free Developer Experience product enhances team health, attracting more users to the platform.

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