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Data Scientist
Job Description
Key Responsibilities
- Analyze large datasets to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Collaborate with product, engineering, and marketing teams to implement data-driven strategies
- Identify opportunities for data acquisition and automation of data processes
- Create clear visualizations and dashboards using tools like Power BI, Tableau, or Python libraries
- Maintain documentation of processes, models, and project results
Required Skills & Qualifications
- Bachelors or Masters in Computer Science, Statistics, Mathematics, or related field
- 25 years of experience as a Data Scientist or similar role
- Proficiency in Python or R for statistical analysis and machine learning
- Strong knowledge of SQL for data querying
- Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus
- Excellent problem-solving, critical thinking, and communication skills
- Preferred Qualifications
- Experience with NLP, Deep Learning, or AI model deployment
- Hands-on experience with frameworks like Scikit-learn, TensorFlow, or PyTorch
- Experience working in remote or distributed teams
More Info
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About Company
Skills:
probability , BigQuery, Machine Learning Algorithms, Sql, MLops, Elasticsearch, Spark, Python, Vector search, Predictive modeling techniques, Statistics, Recommendation systems, Feature engineering, Embeddings, Real-time data processing, Search ranking, Data visualization tools, Deployment pipelines, Model evaluation
Skills:
snowflake , Cassandra, PostgreSQL, Nosql, Docker, Terraform, MySQL, Elasticsearch, Oracle, Python, AWS, SQL Server, HBase, Redis, Sql, Hive, Gcp, Amazon Redshift, Spark, MongoDB, Azure, Airflow, MLflow, Beam, GitHub Actions, Teradata, Luigy, Nifi
Skills:
Python, Sql, Etl, Big Data, Data Warehousing, Spark, Hadoop, Machine Learning, Data Modeling, Cloud Computing
Skills:
Pyspark, Tensorflow, Deep Learning, Nlp, Pytorch, Gcp, Machine Learning, Recommender Systems, Azure, Python, AWS, GenAI dev tools and frameworks, Langchain, scikit-learn, AI Agents, HuggingFace, Search engine query pipelines, LangGraph, Langfuse