The client is seeking a highly skilled and motivated Senior Data Scientist to join their team. As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes. The ideal candidate will have a strong background in mathematics, statistics, and machine learning, along with proficiency in Python data analysis and visualization, API ecosystem, Linux OS, structured and non-structured databases, big data technologies (Databricks, Spark), and cloud services.
Responsibilities:
• Analyze complex data using statistical and machine learning models to derive actionable insights.
• Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services.
• Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
• Communicate findings and insights effectively to stakeholders. Apply strong communication skills and experience in business analysis.
• Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives.
Requirements:
• Bachelor's or Master's degree in a quantitative field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in Python for data analysis and visualization, along with experience in working with APIs, Linux OS, databases, big data technologies, and cloud services.
• Strong understanding and experience with NLP, Generative AI, and LLMs.
• Excellent communication skills, with the ability to convey complex findings to both technical and non-technical stakeholders.
• Experience in business analysis and working in an Agile framework.
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Starkflow builds remote teams. At Starkflow, we aim to help founders grow businesses while saving their time and money, simultaneously providing long-term career opportunities to talent.
