Full Stack Data Scientist
Full Stack Data Scientist
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1 Vacancy
Job Description
We bring four distinct offerings to Commercial; Federal; and State Local and Education clients.
- Management Consulting:We provide advisory services to design manage and execute lasting change leveraging trusted relationships and industry expertise in strategy organizational transformation operations operational excellence innovation risk and compliance human capital and workforce optimization.
- AI Data & Analytics:Deploying advanced AI and ML solutions business analytics to extract actionable insight data engineering for data warehousing realtime processing and integrated quality data and platform architecture focusing on cloud and hybrid solutions security and solution selection and integration.
- IT Transformation:Delivering technology services covering application lifecycle management CRM implementation systems integration rockITCX contact center solutions product resale and IT infrastructure management. Our approach ensures seamless operations and enhanced customer engagement optimizing technology investments for diverse businesses.
- Mission Support:Specializingin System Engineering Technical Assistance and operations support services to streamline system integration and optimization while ensuring operational excellence for modern enterprises.
Key Responsibilities
- Data Collection and Preprocessing:
- Develop robust data pipelines for acquiring cleaning and preprocessing largescale datasets from various sources.
- Implement strategies for data quality assessment and assurance to ensure reliable analysis outcomes.
- Exploratory Data Analysis and Visualization:
- Conduct comprehensive exploratory data analysis to uncover patterns trends and insights within the data.
- Create interactive visualizations and dashboards to effectively communicate findings to stakeholders.
- Machine Learning Model Development:
- Design develop and deploy predictive models using advanced machine learning algorithms and techniques.
- Optimize model performance through feature engineering hyperparameter tuning and model selection.
- Software Development and Integration:
- Build scalable and efficient software solutions for deploying machine learning models into production environments.
- Integrate data science workflows with existing systems and applications to enable seamless datadriven decisionmaking.
- Performance Monitoring and Maintenance:
- Establish monitoring mechanisms to track the performance of deployed models and identify opportunities for improvement.
- Conduct regular maintenance activities to ensure the reliability stability and scalability of data science solutions.
- Collaboration and Crossfunctional Communication:
- Collaborate closely with crossfunctional teams including data engineers software developers and business stakeholders.
- Communicate technical concepts and findings effectively to both technical and nontechnical audiences.
Required Qualifications
- Bachelors or Masters degree in Computer Science Data Science Statistics or a related field.
- Proven experience in data preprocessing exploratory data analysis and feature engineering.
- Proficiency in programming languages such as Python R and SQL for data manipulation and analysis.
- Strong understanding of machine learning algorithms and statistical modeling techniques.
- Handson experience with machine learning libraries/frameworks such as TensorFlow PyTorch scikitlearn etc.
- Experience in developing and deploying endtoend data science solutions in cloud environments (e.g. AWS Azure GCP).
- Solid understanding of software engineering principles and best practices for building scalable and maintainable code.
Preferred Qualifications
- Experience building solutions for Commercial clients in Pharma Biotech CPG Retail or Manufacturing industries.
- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
- Knowledge of DevOps practices for continuous integration and deployment (CI/CD).
- Experience with distributed computing frameworks for parallel processing (e.g. Dask Ray).
- Strong problemsolving skills and the ability to work effectively in a fastpaced collaborative environment.
Here at rockITdata we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. Theyre who we are how we work and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging fastpaced environment no day is the same.
Know the Why.
Value People Above All Else.
Transparency to a Fault.
Progress Not Perfection.
Be Good by Doing Good.
Smart People Can Disagree.
Bend but Dont Break.
Represent Your Brand.
Think Differently.
Be Amazing Be Fearless Smile Have Fun!
Interested in joining something unique Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!
rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters issuing fake job offers and attempting to setup payment for the job seekers new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata email addresses and our official Applicant Tracking system JazzHR @applytojob email addresses). Please refer to our official Careers page at to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email
rockITdata is an equal opportunity employer and is committed to nondiscrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status veteran status or any characteristic protected by Federal state or local law.
rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process please contact us for assistance at
Required Experience:
Senior IC
Employment Type
Full-Time
