Data Engineer - Expert Dataiku - CDI - H/F at Tala

Paris, Île-de-France, France

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Issu d’une formation Grande École d’Ingénieur/Doctorant, spécialisée en Data Science ou Intelligence Artificielle
Au moins 5 années d’expérience dans le domaine de la data, data analyse et/ou data science
Expériences significatives sur Dataiku (indispensable)
Maîtrise des techniques de data management et de DataViz
Maîtrise de Python, R, RShiny, SQL
Maîtrise de l’utilisation des outils DevOps : Git, Docker, Jenkins/Nexus
Bonnes connaissances Big Data : pySpark, Spark, NoSQL
Connaissance d’outils tels que : AWS SageMaker/Bedrock, Azure ML
Autonomie, organisation, sens du partage
Excellente communication
Orientation métier
Le + : Maîtrise des techniques d’analyses statistiques, de modélisations prédictives, de Machine Learning, de Deep Learning

Responsibilities

Analyse des besoins métiers
Définition des principes et méthodes de collecte et de traitement des données
Mise en application des techniques de traitement et de visualisation de la data
Restitution des analyses et résultats obtenus auprès des métiers et des sponsors
Partage technique avec les membres de l’équipe : solutions et code reviews, recommandations, certifications à réaliser
Participation à des meet-up, coding dogo
Communication : écriture d’articles, retours d’expérience
Benchmark de solutions et conseil auprès des clients sur les solutions technologiques à adopter
Réalisation de POC (Proof Of Concept)
Participation à des projets internes et partage de connaissances au sein des équipes
Partage de connaissances et formations internes

Skills

Dataiku

Data Engineering

Data Analysis

Data Science

Data Collection

Data Processing

Data Visualization

Code Review

Tala

Digital wallet and lending platform for underserved

About Tala

Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.

Santa Monica, CaliforniaHeadquarters

2011Year Founded

$341.1MTotal Funding

DEBTCompany Stage

Fintech, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Risks

Increased competition from Stripe in crypto payments could challenge Tala's market position.

Keytom's launch may attract Tala's crypto-interested customer base, reducing market share.

Apple's NFC chip decision could lead to more competition in the digital wallet space.

Differentiation

Tala uses AI to offer personalized financial experiences to underserved individuals.

The company provides instant credit and expansive bill payment options via a single app.

Tala's proprietary data tools enable services for those without traditional banking access.

Upsides

Integration of stablecoin payments could enhance Tala's transaction speed and cost-effectiveness.

Apple's NFC chip opening may allow Tala to offer more seamless payment options.

Equifax's AI advancements highlight potential for Tala to improve its credit scoring systems.

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