This position requires end to end data science and analysis skills. These include but are not limited to organizing and analyzing huge datasets and building complex schemas and rules governing data flow. A primary focus for this role will be on applying Master Data Management (MDM) principles and working within the data management team to apply uniform normalization and standardization across Postal Datasets. This position documents and defines data science best practices and procedures, leads adoption processes, and research emerging technology
Responsibilities:
Ability to analyze large amounts complex data to identify patterns and trends, using analytical, statistical, and programmable skills
Ability to analyze the structured and unstructured data to gain insights
Contribute to assets/offerings and thought leadership.
Provides technical direction and guidance to all stakeholders on the analysis, interpretation, and display of data; advises on the appropriate statistical and computational methodologies (e.g., probability sampling, experimental design, data quality) to ensure accurate conclusions and presentation of data findings.
Researches, analyzes, and interprets underlying data; develops algorithms to evaluate domain data (e.g., customer, finance, operational) to address business questions or issues.
Designs and executes the development of models and visualizations to address opportunities and pain points with technology systems and applications.
Develops scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation. Develops processes and mechanisms using programming languages.
Query and analyze data to identify business insights
Apply MDM best practices and develop complex Merge and Match Rules governing multiple large data sets
Document procedures and develop guideline for Data Scientist best practices and standards for normalization, definition, naming etc
Research and apply emerging data science best practices and technologies
Ensuring adoption of required policies and standards across the enterprise
create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing
examine data from multiple sources and share insights.
Required Skills:
2 years experience in working as Data Scientist in implementing business solution to get insight out of data.
1 year of experience with data science tools - Python, Spark, Scala, Databricks
Preferred Skills:
Bachelors Degree preferred
Solid understanding SQL and other query tools
Analytical mind and great business sense and Problem-solving aptitude
Working at ICF
ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world’s toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more here: Requesting an Accommodation for the ICF interview process.
Read more aboutworkplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in theTransparency in (Benefits) Coverage Act.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$57,737.00 - $98,153.00Nationwide Remote Office (US99)
