Jellyfish

Data Scientist Executive, Investment Analytics

Mumbai, Maharashtra, India

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Digital Marketing, Advertising, BiotechnologyIndustries

Requirements

Candidates must be fluent in English and possess programming proficiency in Python and SQL. A minimum of 1 year of experience in a data role analyzing media and web data from platforms like Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics is required. Proficiency in data visualization tools such as Tableau, Looker, or Matplotlib, and strong experience with the marketing ecosystem and measurement frameworks including paid display, search, social, video, organic, web, and app are essential. Skilled in media measurement methodologies like media mix modeling, incrementality analysis, and attribution modeling, along with an understanding of machine learning concepts and hands-on experience, are necessary. A collaborative mindset, problem-solving skills, and a proactive approach to improving and automating processes are also required. While traditional degrees and years of experience are not strictly emphasized, relevant skills, expertise, and behavioral attributes are highly valued.

Responsibilities

The Data Scientist Executive will analyze data to uncover trends and deliver actionable recommendations. They will explain and promote the use of data science methodologies such as Media Mix Models, Geo-based Incrementality, Experiments, and Causal Impact Studies to enhance campaign performance for clients. Responsibilities include developing and implementing Marketing Mix Models to improve media performance, customer experiences, and revenue generation. The role involves working with platform partners to advance mathematical techniques for Incrementality Testing, Media Mix Modeling, and Data Clean Rooms using both open-source and in-house code. Additionally, the executive will document analytics projects to ensure processes can be replicated and scaled across the organization.

Skills

Data Analysis
Data Science
Media Mix Models
Geo-based Incrementality
Causal Impact Studies
Statistical Testing
Marketing Mix Models
Paid Media
Investment Analytics
Client Services
Data Visualization
Reporting

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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