Data Scientist
Job Description
We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
Responsibilities:
- Data mining or extracting usable data from valuable data sources
- Utilize predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop company A/B testing frameworks and test model quality.
- Coordinate with cross functional teams to implement models and monitor outcomes.
- Conduct data-driven research and create models to understand complex behaviors and trends.
- Present data insights and recommendations to senior management for strategic decision-making.
- Develop and maintain prediction systems and machine learning algorithms.
Qualifications:
- Minimum 3+ years of experience as a Data Scientist.
- Strong problem-solving skills with experience in predictive modeling.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Experience using statistical computer languages (Python, R, SQL, etc.) to manipulate data and draw insights from large data sets.
- A drive to learn and master new technologies and techniques.
- Experience working with and creating data architectures.
Workdays- Monday to Sarurday (Saturday is WFH)
More Info
Key Skills
About Company
Skills:
Power Bi, Pyspark, Data Visualization, Tableau, Machine Learning Algorithms, Sql, Python, Model Tuning, Feature Engineering, Ms Office Suite
Skills:
business understanding , Pyspark, Data Management, Sql, Software Engineering, DevSecOps, Machine Learning Algorithms, Python, Open-Source Programming Languages, Predictive Models, Data Preprocessing, Recommendation Engines, Statistics, Deep Learning Models, Anomaly Detection Systems, Statistical Models, Ericsson Business Intelligence and Analytics Competence, Artificial Intelligence Systems, Cloud Development
Skills:
Machine Learning, Hadoop, Predictive Analytics, Power Bi, Teradata Sql, Artificial Intelligence, Spark, Python, Microsoft TSQL, LLMs, API Gateways, prompt engineering, R, AI concepts, Statistical Modeling
Skills:
Machine Learning, orchestration patterns, RAG agent frameworks, LLMs, end-to-end AI architectures, data science fundamentals
Skills:
Grafana, XGBoost, Python, AWS, Gcp, FastAPI, Rest Apis, Azure, time-series modeling, vector databases, Pinecone, LangSmith, LangGraph, model evaluation, OpenTelemetry, Langfuse, Statistical Modeling, Azure AI Search, LangChain, predictive forecasting, Generative AI, LightGBM, cloud platforms, deep learning forecasting architectures, ensemble methods, Regression, FAISS, Milvus, feature engineering, Azure Monitor