Job Description

You are collaborative, proactive, adaptable, and gritty. You excel at facilitating and reconciling inputs across separated geo-located teams. You balance a passion for deep understanding of innovation with the ability to deliver extraordinary results. Ability to Deliver Results: A track record for delivering results with concrete financial and operational objectives as well as the capacity to organize and direct a small team. Entrepreneurial Attitude: A proactive outlook that provides the chutzpah needed to overcome barriers, creatively problem solve, and test conventional thinking. Comfort with Ambiguity: A willingness and aptitude for spending time in and thriving with deep uncertainty and environments where there is no clear right answer . Passion for Innovation: A demonstrated interest and desire to participate in innovation through personal study, on-the-job initiative, or other endeavors. Positive Outlook: A desire to look past the objections in search of the opportunity. Strong Communication Skills: An ability to explain new concepts clearly and succinctly, able to negotiate and persuade others to your point of view. A need for speed; demonstrated ability to make decisions quickly and to act upon them. Alongside a team of entrepreneurial, high-performing, curious people, you ll deliver breakthrough solutions to drive sustainable growth for Ralliant What you will do: As a Senior Data Scientist, you ll drive execution and play a vital role in building a culture of innovation at Ralliant. You will build, manage, and inspire alongside a multi-functional team that solves for our toughest growth obstacles. Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end review that include: data gathering, review, scaled deliverables, recommendations and presentations to stakeholders. Contribute to a wide variety of technical projects using GenAI, Computer vision, natural language processing, statistical analysis, machine-learning, and other forms of analytical modeling. If solving a material customer problem or finding an analytical solution to a core process bottleneck sounds like your kind of thing, our Senior Data Scientist role might right for you. This opportunity could be for you if: Hold a bachelor s degree (or its equivalent) in computer-science / information-theory / language-technologies or a related field is required, and a Master or PhD is preferred Have 8-10 years of relevant experience in the field of AI/ML. Lead end-to-end data science projects, from problem definition and data collection to model development and deployment. Design and develop machine learning models and algorithms to analyze large, complex datasets and extract meaningful insights. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Explore and implement advanced statistical techniques to uncover trends, patterns, and correlations in data. Develop predictive models and forecasting algorithms to support decision-making and drive business growth. Evaluate model performance and make recommendations for model improvements and optimizations. Stay updated on the latest developments in data science, machine learning, and AI technologies, and identify opportunities for innovation and improvement. Mentor junior team members and provide technical guidance and support as needed. Preferred Qualifications: Proven track record of success in applying data science techniques to real-world business problems. Expertise in programming languages such as Python, SQL and familiarity with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn). Strong knowledge of GenAI, machine learning algorithms, deep learning techniques, and statistical modelling. Model Understanding: Deep understanding of the language model architecture being used (e.g., GPT-3, BERT) and how it generates responses. Azure Open AI resource knowledge is a must. Experience with big data technologies and platforms (e.g., Hadoop, Spark) and cloud computing services (e.g., AWS, Azure, GCP). Excellent analytical and problem-solving skills, with the ability to think critically and creatively to solve complex problems. Effective communication and collaboration skills, with the ability to present technical concepts to non-technical stakeholders. Proven leadership experience, with the ability to lead and mentor a team of data scientists.