Careers
What interests you?
Are you looking to expand your capabilities? To work with innovative minds? With new technologies? Or for a solid place to start?
Find Your Fit
If you have the DNA to make a difference at Neudesic, then we want to hear from you. We offer competitive salaries, a comprehensive benefits package, and a nurturing environment where you can not only fit in, but also stand out.
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What We Do
Why Work at Neudesic
Take your talents to the next level with Neudesic. Through NeuU, Neudesic’s “University”, you choose what direction you’d like to develop your talents and skills.
The opportunities for professional advancement are open. Dive into AI, RPA or Data Science, or apply your current capabilities to another platform such as Microsoft Azure or any number of technologies represented by our alliance partners.
Our Story is Our Team
Neudesic was founded on a core set of values that live today in who we are and what we do.
Useful ideas are the seeds of innovation.
Innovation is about turning those ideas into solutions that people love.
As a team we trust each other, embrace conflict, commit to each other, hold ourselves accountable, and pay attention to results.
Passion • Discipline • Innovation • Teaming • Integrity
Make a Difference
We’re technologists and business consultants at our core. But our unique experiences make us so much more. And that ‘more’ is what drives us to innovate. We come from different parts of the world. From different backgrounds. We have different histories, strengths and interests. Individually we make a difference; together we make an impact.
Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen
Featured Positions
SENIOR DATA SCIENTIST (job code NY0523GC) in New York, NY
Responsibilities
Work as a team lead, supervisor, and SME for Data engineering projects, to provide all-around technical solutions for Azure Full-stack. Provide technical work to clients on Microsoft Azure and Amazon AWS cloud solutions, using pyspark/scala programming language. Implement database technologies such as SQL analytics, azure synapse, Amazon Redshift, Snowflake. Implement networking solutions such as DNS NIC, NSG, and private endpoints for cloud computing to create ""zero-trust environments"" to add Security reliability and compliance. Implement Data Governance solutions for reliable data protection and solve GDPR solutions for various industry practices. Implement and design data movement and processing using on prem hardware and cloud computing to process real-time, batch, and ad-hoc data for downstream applications, web applications using real-time endpoints, and business reporting and governance. Supervise the work of 4 employees (Data & AI Consultant 2; Data & AI Consultant 2; Data & AI Consultant 1; Data Scientist).
Telecommuting allowed.
Special Requirements
Must possess expertise/ knowledge sufficient to adequately perform the duties of the job being offered. Expertise/ knowledge may be gained through employment experience or education. Such expertise/ knowledge cannot be "quantified" by "time." Required expertise/ knowledge includes: Designed with big data tools/environment and real-time analytics, e.g., Hadoop Ecosystem (written complex I IQL query, automated production pipeline.), Spark, Azure Stream Analytics, and Spark Streaming. Utilized knowledge of Azure Data Services: Synapse Pipelines, Synapse Dataflow, Synapse Notebooks, Azure Databricks, Machine Learning, Data Explorer, SQL Database, Managed Instanced, HDInsight, Serverless and Dedicates SQL Pools, Spark Pools. Utilized Advanced knowledge of statistical, data mining, machine learning, and Al techniques (regression, decision trees, clustering, neural networks, and deep learning frameworks.) using R, Python, or other statistical packages. Designed relational database management systems, data warehouses star and snowflake schemas, data lakehouses, and data mesh using data modeling tools and advanced T-SQL, Spark SQL, and PySpark. Demonstrated ability to engage senior-level technology decision-makers in data management, real-time analytics, predictive analytics, and data visualization. Partnering with solution architects to drive client success by providing practical guidance based on years of experience in data management and visualization solutions. Detailed software solution techniques and discovered to technical and non-technical audiences in a language they can understand; Explored new territories and found creative and unusual ways to solve problems. Lead onshore and offshore teams of 5+ team members in a technical subject matter expert and reporting manager capacity. Partnered with the senior management team to define data science practice growth strategy and define coding standards. Collaborated with the business stakeholders to define project vision and turn business requirements into technical specifications.
Minimum Requirements
This position requires a Bachelor’s degree or foreign equivalent in Computer Science, Computer Information Systems or closely related field and 5 years of work experience in the job offered or closely related occupation.
Salary: $157,477 – 205,000 per year
Neudesic, LLC is an equal opportunity employer.
Send resumes to: JobsUS@neudesic.com. Ref. Job Code: NY0523GC.
EOE M/F/D/V
It is the policy of Neudesic to afford full equal employment opportunity to qualified employees and applicants, regardless of their race, color, religion, sex, national origin, age, physical or mental handicaps, military or veteran status, sexual preference, or any other protected condition or characteristic in conformity with all applicable federal, state and local laws and regulations.
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