Data Scientist
1 day ago
Role: Data Scientist
Job Description
As a Data Scientist, you will play a critical role in our data-driven decision-making
process. You'll be responsible for analyzing complex datasets, developing predictive
models, and translating insights into actionable recommendations. If you're passionate
about leveraging data to solve real-world problems, we'd love to have you on our team
Responsibilities
:
- Advanced Analytics and Modeling:
o Develop and implement statistical and machine learning algorithms
including regression, classification, recommendation, natural language
processing and computer vision models.
o Work with technical and product leads to assist in developing custom deep
learning models using architectures like RNNs, CNNs, transformers.
o Analyze large datasets to extract meaningful insights through descriptive
statistics, interactive charts using Plotly, High Charts.
o Strong command in Python programming, functional design.
o Develop and host APIs on GCP / Azure for models produced and evaluate
and track performance over time. Familiarity with CI/CD pipelines will be
preferred.
o Extract and integrate data from multiple relational and NoSQL data
sources.
o Collaborate with cross-functional teams to understand business
requirements. Familiarity with media planning and buying references and
metrics will be preferred.
o Collaborate with and guide junior data scientists.
- Project Support:
o Lead and deliver on given tasks in end-to-end data science projects, from
problem formulation to model deployment.
o Manage project timelines, and deliverables.
o Collaborate with technical teams, and business analysts to build data
initiatives.
Qualifications
:
Education: Bachelor's, or Master's in a quantitative field (e.g., Data Science, AI,
Computer Science, Statistics, Mathematics, or related).
Experience: Minimum of 3 years in data science, machine learning, or related
roles.
Technical Skills:
o Proficiency in Python, or similar programming languages and efficient API
development.
o Strong knowledge of machine learning techniques (regression,
classification, recommenders, clustering, DNN, NLP, CV).
o Experience with big data and AI tools (Spark, Airflow, Vertex AI, Azure AI
Foundry) and cloud platforms (GCP, Azure).
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