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Data Scientist

Data Scientist

Superpeer
4-6 Years
Not Disclosed
Early Applicant
  • Posted a month ago
  • Be among the first 10 applicants

Job Description

Job Summary:

We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods.

Key Responsibilities:

  • Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization.
  • Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization.
  • Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.).
  • Collaborate cross-functionally with engineering and business teams to drive data-first decision-making.

Must-Have Skills & Qualifications:

  • Minimum 4 years of professional experience in data science, analytics, or a related field.
  • Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.).
  • Expert knowledge of SQL and working with relational databases.
  • Proven experience with data wrangling, data pipelines, and ETL processes.

Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required):

  • Data Preparation & Automation: Alteryx, Trifacta, KNIME
  • AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI
  • Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations)
  • AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML
  • NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn
  • Workflow Orchestration: Apache Airflow, Prefect

Preferred Qualifications:

  • Degree in Computer Science, Data Science, Statistics, or related field.
  • Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads.

To apply, please send your resume to [Confidential Information] or [HIDDEN TEXT]

SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you!

More Info

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Key Skills

R

data pipelines

scikit-learn

Hugging Face Transformers

MonkeyLearn

Amazon SageMaker

Prefect

DataRobot

H2O.ai

BigML

Google Vertex AI

Azure ML Studio

IBM Watson Studio

Trifacta

Looker

OpenAI ChatGPT

Google AutoML

Codex APIs

About Company

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