Data Scientist 1

Job Description Roles & Responsibilities We are seeking an experienced and highly skilled Data Scientist to join our dynamic team. Develop and implement machine learning models to solve complex business problems. Analyze large datasets using statistical and machine learning techniques. Work with structured and unstructured data, and design advanced algorithms for data mining, predictive modeling, NLP, and time series analysis. Collaborate with cross-functional teams to integrate data science solutions into cloud-based environments (AWS, Azure, GCP, Databricks, Snowflake). Build data pipelines and manage big data frameworks for efficient data processing. Use data visualization tools like Tableau, Microsoft Power BI, Matplotlib, and Seaborn to present complex results in a clear and concise manner. Your Skills and Experience Programming Languages: Expertise in Python, R. Data Science Platforms: Experience with Databricks, Dataiku, AzureML, SageMaker. Data Analysis Tools: Proficiency in Pandas, NumPy. Cloud Platforms: Strong understanding of Snowflake, Azure, AWS, GCP, Databricks. Strong SQL skills for data manipulation and querying. Machine Learning & AI: Experience in building and deploying machine learning models, including Natural Language Processing (NLP). Big Data Technologies: Familiarity with big data technologies and processing. Time Series Analysis: Strong knowledge of time series forecasting and analysis. Data Visualization Tools: Hands-on experience with Matplotlib, Seaborn, Tableau, Microsoft Power BI. Bachelor's degree in data science, Analytics, Business, or related field. Advanced degrees or certifications are a plus. Desired Candidate Profile Develop and implement machine learning models to solve complex business problems. Analyze large datasets using statistical and machine learning techniques. Work with structured and unstructured data, and design advanced algorithms for data mining, predictive modeling, NLP, and time series analysis. Collaborate with cross-functional teams to integrate data science solutions into cloud-based environments (AWS, Azure, GCP, Databricks, Snowflake). Build data pipelines and manage big data frameworks for efficient data processing. Use data visualization tools like Tableau, Microsoft Power BI, Matplotlib, and Seaborn to present complex results in a clear and concise manner. Your Skills and Experience Programming Languages: Expertise in Python, R. Data Science Platforms: Experience with Databricks, Dataiku, AzureML, SageMaker. Data Analysis Tools: Proficiency in Pandas, NumPy. Cloud Platforms: Strong understanding of Snowflake, Azure, AWS, GCP, Databricks. Strong SQL skills for data manipulation and querying. Machine Learning & AI: Experience in building and deploying machine learning models, including Natural Language Processing (NLP). Big Data Technologies: Familiarity with big data technologies and processing. Time Series Analysis: Strong knowledge of time series forecasting and analysis. Data Visualization Tools: Hands-on experience with Matplotlib, Seaborn, Tableau, Microsoft Power BI. Bachelor's degree in data science, Analytics, Business, or related field. Advanced degrees or certifications are a plus. Company Industry Consumer DurablesConsumer Electronics Department / Functional Area IT Software Keywords Data Scientist 1 Get real-time job updates only on our App