Job Description & How to Apply Below
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, Tensor Flow, 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:
Data Robot, H2O.ai, Amazon Sage Maker, 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, Monkey Learn
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 [HIDDEN TEXT] or [HIDDEN TEXT]
Super Pe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you!
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