Research Scientist jobs in United States, Ohio, Columbus

• Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment.
• Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.
• Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.
  
• Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.

• Bachelor's degree or equivalent practical experience.
• Completion of the online Google IT Support Professional Certificate program.
  
• 2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
  
• Experience working within a data center or network operation center environment.
  
• Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.).
• Ability to collaborate and partner with teams to overcome issues, and to adapt to changes in a dynamic work environment.

As a Lead Data Scientist within the Employee Platform’s Innovation Studio Team, you will be a key contributor, working closely with the Workforce Business and Technology team to tackle complex business challenges. You will employ advanced machine learning and generative AI techniques, utilizing a big data approach to enhance employee experience and operational efficiency in areas such as workforce, payroll, and compensation. Your expertise in data science will be crucial in developing innovative solutions and tools that deliver significant results across the organization. Success in this role requires a combination of technical proficiency, business insight, effective communication, and collaboration with senior stakeholders to achieve our organizational objectives.

Job Responsibilities:

• Communicate and interface with senior stakeholders, leveraging analytical skills and business acumen to drive impactful results that inform strategic decisions
• Commit to iterative development, engaging and updating stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle
• Develop insights, methods, or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc
• Handle large amounts of data from multiple and disparate sources, employing advanced Python and SQL techniques to ensure efficiency and accuracy
• Own projects, manage stakeholders, and develop projects from inception to completion, encompassing tasks such as gathering detailed requirements, data preparation, model creation, result generation, and data visualization
• Develop and deploy machine learning models and generative AI capabilities
• Design, code, test, and debug applications
• Lead, mentor, and develop a team of technical professionals
• Uphold the highest standards of data integrity and security, aligning with both internal and external regulatory requirements and compliance protocols

Required Qualifications, Capabilities, and Skills:

• BS Degree in a scientific field (Computer Science, Operations Research, etc.) and 7+ years of experience producing advanced analytics work
• Expertise in statistical software packages and data tools, including Python and SQL
• Proficiency in advanced statistical methods and concepts, predictive modeling, time series forecasting, and text mining
• Skilled in data mining & visualization
• Robust knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)
• Competent with deep-learning frameworks such as PyTorch, TensorFlow, or Keras
• Ability to leverage traditional data science techniques and experience with data engineer pipelines for big data
• Knowledge of RNNs, and LSTMs models
• Efficient storytelling capabilities, including communicating complex concepts into digestible information for audiences of varying levels in the organization.
• Committed to iterative development, updating stakeholders, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle

Preferred Qualifications, Capabilities, and Skills:

• Masters or PHD in a related field.
• HR, Payroll, Incentive Compensation and other workforce related experience preferred
• Experience in big data platforms such as Databricks, AWS EMR, Sagemaker, Apache Glue, Spark, etc
• Experience/understanding of cloud storage (Object Stores like S3, Blob; NoSQL like Columnar, Graph databases)

In this role, you will contribute to innovative projects and drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver the right solutions as we reinvent CRMs and client/employee interactions at the firm. You will be part of an innovative team, working closely with business partners, product owners, and fellow data scientists to build new AI/ML solutions and productionlize them. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.

Job responsibilities

• Serve as a subject matter expert on a wide range of ML techniques and optimizations.
• Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conducting experiments using latest ML technologies, analyzing results, tuning models.
• Actively engage in hands-on coding to convert experimental results into robust production solutions.
• Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.
• Integrate Generative AI within the ML Platform using state-of-the-art techniques.

Required qualifications, capabilities, and skills

• Bachelor's degree with 7 years of applied machine learning experience.
• At least 5 year's experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
• Experience in applying data science, ML techniques to solve business problems.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow
• Ability to work on tasks and projects through to completion with limited supervision.
• Passion for detail and follow through. Excellent communication skills and team player.

Preferred qualifications, capabilities, and skills

• In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
• MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 5 years of applied machine learning experience preferred.
• Advanced knowledge in Reinforcement Learning or Meta Learning.
• Software development experience is a plus.
• Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.

Job summary:

As an Asset Management - Fund Controller – Associate you will support the Production Administration leadership team in executing management and oversight responsibilities for the Funds. You will consider the market, regulatory, and business environment that they operate within the space. As a Fund Controller Associate you will participate in and support new fund development and implementation efforts as well as other product related initiatives as they arise.

Job responsibilities:

• Execute risk focused oversight model that address all aspects of Fund Operations including: daily/monthly net asset values, distributions, expenses, implementation of accounting policies, issue identification, management and resolution.
• Evaluate all aspects of proposals (e.g., prospectus language, trading/operational model, distributions, expense structure, etc.) to identify solutions to launch/modify the product.
• Implement the appropriate risk-focused oversight controls.
• Review and approve Funds' financial statements and regulatory filings; coordination of all audit efforts with service providers and external auditors; and, executing disclosure control procedures in support of Audit Committee clearance meetings, principal financial/executive officer certifications, etc.
• Review and provide input to all Fund-related regulatory filings (e.g., N-1A), participate in efforts to respond to regulatory requests and inquiries related to the Funds.
• Lead and participate in various Fund related initiatives.
• Develop materials to summarize oversight results to Funds' governing bodies

Required qualifications, skills and capabilities:

• 3+ years’ experience in the investment management industry.
• Technical and business knowledge of various Fund structures (e.g., mutual collective investment and ETFs) and activities from an investment, operational, regulatory, accounting and financial reporting perspective.
• Knowledge and experience across various asset classes (e.g., fixed income, alternatives and equities) and complex instrument types (e.g., derivatives and structured products).
• Strong analytical skills with ability to evaluate issues, propose and implement solutions, with consideration for all downstream implications.
• Highly developed interpersonal skills and the ability to work effectively as part of a cross functional team.
• Demonstrated thought leadership and the ability to influence and achieve results. Excellent written, verbal and presentation skills; ability to communicate in a clear and concise manner in any format.
• Proactive attitude, commitment to continuous learning, willing to challenge the status quo to improve processes

Job responsibilities:

• Collaborate with cross-functional teams to define, design, and ship new features.
• Create and maintain clean, efficient, and reusable codebase.
• Conduct thorough testing to ensure robustness and reliability of applications.
• Troubleshoot and debug issues, ensuring smooth application functionality.
• Communicate effectively with stakeholders to gather requirements and provide progress updates.
• Mentor junior developers, providing guidance on best practices and code reviews.
• Stay updated with the latest industry trends and best practices in mobile development.
• Drive continuous improvement initiatives to enhance development processes and workflows

Required qualifications, capabilities and skills

• Formal training or certification on JavaScript concepts and proficient applied experience
• Ability to write testable, clean JavaScript code
• Proficiency in React framework
• Familiarity with writing unit tests
• Understanding of REST APIs and GraphQL
• Ability to work in a dynamic, agile environment within a geographically distributed team
• Ability to focus on promptly addressing customer needs
• Excellent written and verbal communication skills in English

Preferred qualifications, capabilities and skills

• Building applications using React Native in TypeScript or JavaScript
• Native application development across Android / iOS in Kotlin / Swift
• Comfortable working with projects partially or fully using TypeScript
• Using latest React features such as Suspense and Hooks
• End to end testing applications with Detox / Appium / WebdriverIO

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience with libraries like ReactJS and building applications with reusable UI components
• Fluency in JavaScript, HTML and CSS development.
• Experience in developing with the use of flexible and extensible UI module integrated with Web API’s and messaging (REST, JSON etc.).
• Experience with web services and API integration
• Hands-on with testing frameworks like Jasmine, Karma, Protractor etc.
• Hands-on with Azure / AWS, Containerization / Kubernetes etc.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Independent and self-motivated
• Strong interpersonal and communication skills

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Automate various network services infrastructure as well as client facing network provisioning via APIs and ReactJS based frontend.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced and Hands-on experience in Python programming language
• Expertise in web framework such as Django and/or Flask. Responsible for designing, developing, and maintaining robust APIs.
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Understanding of RabbitMQ, Relational and NoSQL databases.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies such as ReactJS
• Exposure to public cloud technologies