Superpe Marketplace
3 weeks ago
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 post internship, 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.
