Senior Consultant
6 days ago
About Neudesic Passion for technology drives us, but its innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Data Scientist for our Data & AI Practice. This role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: At least 3+ years of hands-on mathematical modeling experience in business environment Bachelors degree in quantitative field like Computer Science, Engineering, Business Analytics, Statistics, Mathematics or related field required. Advanced degree is a strong plus Experience with Databricks is required Experience in R/Python and SQL Knowledge of statistical, data mining, machine learning (ML and MLOps), large language model (LLM) and AI techniques (regression, decision trees, clustering, neural networks, and deep learning frameworks, etc.) Strong SQL skills and proven experience in working with large datasets and relational databases Preferred Qualifications Experience in Hadoop, Spark, and cloud platform experience Experience in working with big data tools/environment, e.g. Hadoop Ecosystem (write complex HQL query, automate production pipeline, etc.), Spark, is a strong plus Experience with data visual analysis and BI tools like Tableau and Power BI Proven experience in working with cloud computing platforms particularly Azure is a strong plus Distinctive communications skills and ability to communicate analytical and technical content in an easy-to-understand way Ability to tell stories and make recommendations with data exploratory/visual analysis Intellectual curiosity, along with excellent problem-solving and quantitative skills, ability to disaggregate issues, identify root causes and recommend solutions Result-driven achievers and proven leaders with the ability to inspire others, build strong relationships, and create a true followership Strong people skills, team-orientation, and a professional attitude More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of whats happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems. Neudesic also offers professional development and training for our Consultants. This includes opportunities to gain new technical certifications, develop professionally and grow within the company. Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their teams management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. #J-18808-Ljbffr
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