Software Engineer on the Data Science team collaborating on AI initiatives and technical strategies at MassMutual. Creating systems, infrastructure, and applications to optimize data processing and AI solutions.
About the role
- Data Manager leading data-driven decision-making across the organization at Dun & Bradstreet. Developing and managing critical data elements in the D&B Data Cloud to meet client requirements.
Responsibilities
- Ensure the quality, availability, and governance of enterprise data, which is necessary for operational excellence and long-term scalability.
- Develop and implement roadmaps and initiatives through cross-functional partnerships to improve, expand and grow critical data element data quality.
- Understand how critical data elements are processed globally and set data quality standards and guidance for data operations teams. Work with data quality and data supply chain teams to monitor and measure the data against these standards.
- Proactively review data quality results, issues and observations on a regular basis to ensure data quality is maintained and improved. Provide guidance and support to regional teams.
- Develop and publish directives on how data should be managed throughout its lifecycle.
- Understand client insights, usage behaviors and requirements for their assigned CDE/Domain.
- Support client-facing teams in understanding critical data elements and engage product teams to identify business needs and develop, implement, and manage the data asset. Establish and maintain strong relationships with key business and technology stakeholders.
- Serve as a role model, inspiring innovation and teamwork within the team and across departments.
- Continually evaluate processes for improvement, taking the lead in developing and executing plans. Develop innovative alternatives and modern approaches to enhance the areas of our business under our control.
- Stay updated with the latest trends and technologies in data & analytics and apply them to improve existing processes.
Requirements
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering or a related field. Master’s Degree is a plus.
- 8+ years of experience in data management (data quality, data governance, data stewardship, master data management) or a related field.
- Ability to manage multiple assignments, many of which have challenging timelines.
- Ability to work independently, as well as collaborate effectively in a team environment.
- Excellent communication and presentation skills.
- Proficiency in Microsoft Office Suite.
- Passionate and curious about data with the ability to query and analyse datasets in order to drive fact-based decisions. Ideally experience with a range of data analysis tools and languages (e.g., SQL, Regex, Python, Looker, Big Query, Power BI, Snowflake, Databricks).
- Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
- Where applicable, fluency in English and languages relevant to the working market.
Benefits
- All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb.
- Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
- Your use of this page is subject to Employ's Privacy Notice and Cookie Policy.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Scientist focusing on building generative AI solutions for pharmacy safety. Partnering with teams to enhance medication safety and support pharmacy workflows.
Data Scientist specializing in Generative AI to advance fraud detection systems in banking. Collaborating on various AI initiatives using advanced technologies and internal external partnerships.
Senior Data Scientist at Coinbase conducting analysis to provide insights for product and decision making. Working collaboratively with teams to influence roadmaps using advanced data science methodologies.
Sales Analytics Lead at Rocscience developing reports and insights on customer retention and revenue metrics. Collaborating with Finance and Sales teams in a hybrid capacity from Toronto, Ontario.
Senior Data Scientist building statistical and AI software modules for AI FinTech solutions. Collaborating with product managers and providing insight for business decisions.
Data Scientist II evaluating advertising technologies and driving improvements in ad delivery and performance. Collaborating across teams to design experiments and analyze large datasets for actionable insights.
Principal Data Scientist serving as a tech lead driving Marketing Data Science for Fanatics Commerce. Owning marketing modeling areas and delivering impact through data science and machine learning.
Data Lead driving data strategy and leading a team for AI - first software company. Responsible for building a trusted data framework and enabling self - service analytics across the company.
Data Scientist at Jabil working with complex datasets to derive actionable insights and drive improvement initiatives. Collaborating with engineering and leadership teams for effective problem - solving.