Data Scientist
Hybrid in Chicago, IL, US • Posted 1 day ago • Updated 1 day ago

VRPro IT
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Job Details
Skills
- Big Data
- Data Science
- MongoDB
- NoSQL
- Apache Cassandra
- R
- Pandas
- Java
- Google Cloud
- Amazon Web Services
- Microsoft Azure
- Docker
- Kubernetes
Summary
Specialist Data Science
As a Specialist in Data Science with a focus on Big Data, you will play a critical role in helping our clients harness the power of vast and complex data sets to derive actionable insights. Using your expertise in big data technologies and analytics, you will lead the design and implementation of advanced data models, analytics frameworks, and data-driven solutions. Your work will empower organizations to make data-driven decisions that drive innovation and create measurable business value.
Your Impact:
Lead the development and implementation of scalable big data solutions and advanced analytics frameworks for clients.
Work closely with cross-functional teams to define business requirements and translate them into actionable data strategies.
Design and optimize data models and algorithms that solve complex business challenges using large-scale datasets.
Leverage big data technologies such as Hadoop, Spark, and NoSQL databases to process and analyze large datasets.
Build and deploy machine learning models that can be integrated into production environments to deliver real-time insights.
Conduct advanced statistical analysis and predictive modeling to uncover trends, patterns, and opportunities within big data.
Continuously improve data science processes, ensuring they are efficient, scalable, and aligned with business objectives.
Skills & Experience:
8+ years of experience in data science, big data engineering, or a similar field, with a strong understanding of analytics and machine learning.
Proficiency with big data technologies such as Hadoop, Spark, Hive, and NoSQL databases (Cassandra, MongoDB, etc.).
Strong programming skills in Python, Scala, R, or Java, with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or similar.
Expertise in statistical analysis, data mining, and predictive analytics techniques.
Experience working with cloud platforms like AWS, Azure, or Google Cloud for big data processing and analytics.
Ability to work with large datasets, performing ETL tasks and optimizing data pipelines for speed and efficiency.
Strong problem-solving and critical thinking skills with the ability to make data-driven decisions in complex business environments.
Set Yourself Apart With:
Advanced degree (Master’s or PhD) in Data Science, Computer Science, Engineering, or a related field.
Experience in deploying big data solutions at an enterprise level, particularly in industries like finance, healthcare, or retail.
Familiarity with containerization technologies (Docker, Kubernetes) for deploying data science solutions.
Experience with real-time data processing frameworks and stream processing (e.g., Apache Kafka, Apache Flink).
Knowledge of business intelligence (BI) tools and the ability to present data insights to non-technical stakeholders.
- Dice Id: 91117156
- Position Id: DM_DS
- Posted 1 day ago
Company Info
About VRPro IT
VRPRO IT has furnished its client organizations with a full scope of workforce administrations with Temporary Career opportunities, Independent contract opportunities, Corp-Corp opportunities, Contract to hire opportunities and direct placement opportunities. We use modern approaches and strategies to serve our clients with good moral code in the business. Our commitment towards the business is viewed as a valuable advantage by our clients.
VRPRO IT is a team of highly trained staffing professionals who have experience in the placement of top-notch personnel with local corporations in a variety of industries. In fact, our clients and employees consistently say they are so confident in VRPRO IT’s service that they would recommend us to colleagues and friends. Some portion of that certainty originates from seeing similar cordial faces in our areas throughout the years. We are glad to flaunt that a large number of our representatives have involvement in the staffing business as well as many have been with us for three, five, and even ten years. That implies our customers work with tenured groups that know their market.
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