Data Scientist
1 month ago
Insight is a global provider of digital innovation, cloud data center transformation, and supply chain optimization solutions and services. With a presence in over 130 countries, we help clients successfully manage their IT today while transforming for tomorrow.
Data & AI DivisionOur mission is to harness the power of data through scalable solutions and repeatable processes, revolutionizing decision-making and problem-solving across industries. We're not just another tech division - we're the driving force behind empowering businesses to unlock the full potential of their data.
Key Responsibilities- Collect, clean, and analyze large datasets to extract actionable insights.
- Develop and deploy machine learning models and algorithms to solve business problems and improve decision-making.
- Collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and deliver data-driven solutions.
- Create detailed reports and visualizations to communicate findings and recommendations to stakeholders.
- Provide support for data-related issues, and mentor junior data scientists in the team.
- Define and manage data governance policies to ensure data quality and compliance with industry standards.
- Collaborate with data architects, data engineers, developers, and business stakeholders to design data solutions that meet business requirements.
- Coordinate with users to understand data needs and delivery of data with a focus on data quality, data reuse, consistency, security, and regulatory compliance.
- Stay updated with the latest industry trends, technologies, and best practices to continuously improve data science processes and outcomes.
- Bachelor's degree in computer science, information technology, or related field.
- 5+ years of experience in data science with generative AI, 1+ years hands-on experience using Azure Machine Learning, and/or Azure OpenAI.
- Advanced programming skills in Python, along with AI-centric libraries such as TensorFlow, PyTorch, and Keras.
- Generative models expertise, including developing solutions using generative AI services like Azure Open AI, Gemini, and Amazon Bedrock.
- Natural language processing (NLP) skills, including techniques for text parsing, sentiment analysis, and using transformers like GPT models.
- Data management skills, including proficiency in data manipulation programming languages such as Python, PySpark, and Spark SQL.
- Strong analytical and problem-solving skills, with the ability to interpret complex data sets and make data-driven decisions.
- Extensive experience working with large data sets, with hands-on technology skills to design and build robust data architectures.
- Ability to effectively communicate through presentation, interpersonal, verbal, and written skills.
- A Ph.D. in a related field is a plus.
- 1+ years of experience building Power BI models and visualizations with solid understanding of DAX and Power BI visualization techniques.
- Familiarity with big data technologies like Hadoop, Spark, or similar.
- Agile development environment experience applying DEVOPS along with data quality and governance principles.
- Good leadership skills to guide and mentor the work of less experienced personnel.
- Ability to contribute to continual improvement by suggesting improvements to architecture or new technologies and mentoring junior employees and being ready to shoulder ad-hoc.
- Experience with cross-team collaboration, interpersonal skills/relationship building.
The work environment characteristics described here are representative of those a teammate encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Moderate noise (i.e. business office with computers, phone, and printers, light traffic).
- Ability to work in a confined area.
- Ability to sit at a computer terminal for an extended period.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law.
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