Data Science - Senior Analyst

Get a free resume review

Responsibilities

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
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
Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives
Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding
Ensure model robustness, model generalization, accuracy, testability, and efficiency
Write product or system development code
Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability.
Communicate findings and insights effectively to stakeholders reports and visualizations.

Qualifications

A Master's degree in Data Science, Statistics, Computer Science, or a related field.
Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context.
Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn.
Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models.
Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms.
Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail.
Superior communication skills, enabling the clear and concise presentation of complex findings.
Extensive experience in Azure Databricks for data processing, model training, and deployment.
Proficiency with Azure Data Lake and Azure SQL Database for data storage and management.
Experience with Azure Machine Learning for model deployment and monitoring.
In-depth understanding of Azure services and tools for data integration and orchestration.

Average salary estimate

$135000 / YEARLY (est.)

min

max

$120000K

$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Science - Senior Analyst, Talent Worx

At our innovative company, we're seeking a talented Data Science - Senior Analyst to join our dynamic team. As a Senior Analyst, you will play a crucial role by diving deep into complex data and leveraging statistical and machine learning models to drive meaningful insights, ultimately influencing strategic decision-making. You will be utilizing your Python expertise to perform data analysis, create visualizations, and interact with APIs, databases, and cloud services. Your creative problem-solving skills will shine as you work with natural language processing, generative AI, and large language models, developing cutting-edge solutions that push the boundaries of technology. In this role, you'll collaborate with cross-functional teams, ensuring that business requirements are transformed into effective data science solutions. Embracing the Agile methodology, you will engage in sprint planning and daily stand-ups to ensure seamless project progression. As you research and develop computer vision algorithms in areas such as object detection and scene understanding, you'll ensure the robustness and efficiency of your models. Your contributions will be vital, as you'll design and maintain data pipelines and workflows within Azure Databricks for optimal performance. With your strong analytical abilities and excellent communication skills, you'll present findings and insights in a digestible manner to stakeholders, enhancing our data-driven culture. If you're ready to make a significant impact while working on exciting projects, we encourage you to apply!

Frequently Asked Questions (FAQs) for Data Science - Senior Analyst Role at Talent Worx

What are the main responsibilities of a Data Science - Senior Analyst at our company?

As a Data Science - Senior Analyst, you'll analyze complex data using statistical and machine learning models, provide insights, and support data-driven decision-making. Your responsibilities include developing innovative solutions for natural language processing, working in Agile frameworks, researching computer vision algorithms, and designing data pipelines in Azure Databricks.