Senior Data Scientist

Key Skills

Aartificial intelligence, AngularJS, AWS, Azure, Data management, Data science techniques, Database, Effective communication skills, Google Cloud Platform (GCP), Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, Python Programming, PyTorch, R Programming, React.js, SQL, TensorFlow, TypeScript, Vue.js

Job Description

We are on the hunt for an exceptional Senior Data Scientist with specialized expertise in NLP/LLMs) to join our innovative team. The ideal candidate will have a profound background in data analysis, machine learning, and statistical modeling. Your role will involve leveraging your deep understanding of LLMs to enhance our analytics capabilities. As a senior figure in our data science team, you'll be pivotal in evolving our analytics solutions, steering complex projects, and fostering the growth of junior colleagues.

Responsibilities:

• Data Analysis and Exploration:
• Analyze large datasets to uncover trends, patterns, and insights.
• Conduct exploratory data analysis to identify relevant features and variables.
• Model Development:
• Develop and implement machine learning models to solve business problems.
• Optimize models for accuracy, scalability, and efficiency.
• Statistical Modeling:
• Apply statistical methods to analyze and interpret experimental results.
• Collaborate with cross-functional teams to design experiments and validate hypotheses.
• Collaboration and Communication:
• Work closely with business stakeholders to understand requirements and deliver insights.
• Project Leadership:
• Lead and manage data science projects from conception to implementation.
• Provide guidance and mentorship to junior data scientists.

Continuous Improvement:

• Identify opportunities for process improvement and automation.
• Contribute to the development and implementation of best practices in data science.

Qualifications:

• Master’s or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Physics).
• 5+ years of experience in data science.
• 3+ years of experience in NLP/LLMs
• Proficiency in programming languages such as Python or R.
• Strong knowledge of machine learning algorithms and statistical modeling techniques.
• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
• Previous experience leading data science projects and mentoring junior team members.

Preferred Skills:

• Experience with big data technologies (e.g., Spark, Hadoop).
• Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
• familiarity with frameworks and languages like React, TypeScript, Angular or Vue

About Sisense:

Sisense stands as a beacon of light in the embedded analytics landscape, recognized globally for pioneering solutions that infuse intelligence into every facet of business. As we continue on our journey and explore the vast opportunities of the API economy, we're positioning ourselves for unprecedented growth.

Our vision is bold and transformative: a future where analytics and insights underpin every decision, every process, and every interaction. Our team, an amalgamation of diverse perspectives and unique skills, is our secret weapon. At Sisense, we foster a culture of innovation, collaboration, and inclusivity, powering our relentless drive to redefine what's possible in the world of analytics.