Full Stack Data Scientist - rockITdata

• 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, real-time 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: Specializing in System Engineering Technical Assistance and operations support services to streamline system integration and optimization while ensuring operational excellence for modern enterprises.

• Data Collection and Preprocessing:
  • Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale 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 data-driven decision-making.
• 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 Cross-functional Communication:
  • Collaborate closely with cross-functional teams including data engineers, software developers, and business stakeholders.
  • Communicate technical concepts and findings effectively to both technical and non-technical audiences.

• Bachelor's or Master's 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.
• Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
• Experience in developing and deploying end-to-end 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.

• 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 problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. They’re 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, fast-paced 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 Don’t 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 seeker’s 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.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.

rockITdata is an equal opportunity/affirmative action employer and is committed to equal employment opportunities in all employment practices and decisions including recruitment, hiring, placement, promotion, training, transfer, leaves of absence, compensation, disciplinary action, and termination, with regard to the terms and conditions of employment. rockITdata does not discriminate on the basis of race (actual or perceived), ancestry, citizenship, religion, color, creed, sex (including pregnancy, lactation, childbirth and other pregnancy-related conditions), national origin, age, marital status (including parenthood), military service and veteran status, physical or mental disability, genetic information or refusal to submit to a genetic test or to make available genetic test results, arrest and conviction records, matriculation or political affiliation, sexual orientation, gender identity or expression (including transgender 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 dreamjob@rockitdata.com.

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