Finance Analyst, Rotational Program

Senior Manager Data Science

Senior Data Scientist II

Head HR (Regional)

Senior Data Scientist

Partner Solution Engineer   - SPaaCh (Service provider as a channel)

Solutions Engineer - Cloud and AI Networking

Agile Delivery Manager

Manager KNA Deduction Management

DevOps Engineer

Role Description: <ul><li>As a Finance Analyst in our 9-month rotational program, youll rotate through various finance disciplines to get a well-rounded understanding of key functions.</li><li>These areas can include Financial Planning &amp; Analysis (FP&amp;A), Accounting, Cost Controlling, and Operations Finance.</li><li>The ideal candidate for this role is a recent college graduate (graduation on or after May 2024) with a strong academic background in finance, economics, or a related field. Critical thinking, analytical skills, and a knack for numbers are essential as youll be responsible for data interpretation, financial modeling, and providing strategic recommendations based on your findings.</li><li>This is the first time this program is being offered. Candidates will have the opportunity to be part of a small cohort of finance analysts and have the opportunity for a full-time, permanent job offer at the end of the program.</li><li>Our expectation is that candidates will learn about the company and what role they would like to have before entering full-time to eventually grow into a leadership role. This role offers a unique opportunity to kickstart your career in finance, gain broad experience, and develop a solid foundation in financial management.</li></ul> Responsibilities: <ul><li>Participate in a structured rotational program across various finance functions including financial planning &amp; analysis, accounting, operations finance, cost controlling, and specialized finance roles</li><li>Learn key finance processes in a rapidly growing business</li><li>Build your skillset with the opportunity to match with a permanent, full-time finance role</li><li>Think strategically to develop meaningful ideas that deliver competitive advantage</li><li>Participate in training sessions throughout the program to deepen your core skills</li><li>Rotate approximately every three months to a new function and location, gaining hands-on experience and developing essential skills</li><li>Participate in performance reviews for each rotation and give feedback about the program</li><li>Work closely with assigned mentors throughout the program</li></ul>&nbsp;Requirements: <ul><li>Seniors graduating between May 2024 and June 2025 with a Bachelor’s Degree in finance, accounting, economics, business management or related field</li><li>Strong analytical and problem-solving skills, with the ability to identify and resolve issues&nbsp;</li><li>Demonstrated commitment and passion for a career in Finance</li><li>Excellent communication and interpersonal skills, with the ability to work effectively across stakeholders&nbsp;</li><li>Intellectual curiosity and a keen interest in learning</li><li>Ability to work in a fast-paced environment and adapt to changing priorities&nbsp;</li><li>Ability to maintain confidentiality and handle sensitive information&nbsp;</li><li>Ability to be based in Stamford, CT, Richmond, VA and Owensboro, KY for nine months and in various office locations full-time</li><li>Proficiency in Microsoft Office; Intermediate Excel required</li><li>Exposure to SAP, DynFO, or other ERP systems are a bonus&nbsp;</li></ul> What We Offer:&nbsp; <ul><li>We offer a competitive benefits package for our program, designed to support your professional growth and well-being.</li><li>Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.&nbsp;</li><li>Be part of an inclusive, diverse culture where everyone’s contribution is respected; Collaborate with some of the world’s best people and feel like you belong.&nbsp;</li><li>Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.&nbsp;</li><li>Take pride in delivering our promise to society: To improve the lives of a billion smokers.</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions</li><li>Lead the development of AI and machine learning models to solve business problems</li><li>Research, build, and deploy models based on shallow and deep machine learning</li><li>Train robust NLP-based models on large datasets</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs</li><li>Design APIs for disseminating data science outputs</li><li>Oversee the scaling of production systems to meet growing demands</li></ul> Requirements: <ul><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

About the Role : <ul><li>As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments.&nbsp;</li><li>You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management.&nbsp;</li><li>You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators.</li><li>You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company.</li><li>We are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment,</li></ul> Responsibilities: <ul><li>Develop and implement LLM-based applications tailored for legal use-cases&nbsp;</li><li>Evaluate and help maintain our data assets and training/evaluation data sets&nbsp;</li><li>Design and build pipelines for preprocessing, annotating, and managing legal document datasets&nbsp;</li><li>Collaborate with legal experts to understand requirements and ensure ML-applications meet domain-specific needs&nbsp;</li><li>Conduct experiments and evaluate model performance to drive continuous improvements&nbsp;</li><li>Fine-tune and deploy large language models to enhance their performance on legal text processing tasks&nbsp;</li><li>Interface with other technical personnel or team members to finalize requirements.&nbsp;</li><li>Work closely with other development team members to understand complex product requirements and translate them into software designs.&nbsp;</li><li>Successfully implement development processes, coding best practices, and code reviews for production environments.</li></ul> Requirements:&nbsp; <ul><li>Able to work in person 2 days per week&nbsp;</li><li>Bilingual English and Spanish&nbsp;</li><li>Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications and benchmarking, using frameworks such as LangChain&nbsp;</li><li>MS in Data Science, Computer Science, Statistics, Machine Learning, or relevant work experience&nbsp;</li><li>Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, Flair, BERT (ways to vectorize text data)&nbsp;</li><li>Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms&nbsp;</li><li>Strong Python background&nbsp;</li><li>Knowledge of AWS, GCP, Azure, or other cloud platform&nbsp;</li><li>Understanding of data modeling principles and complex data models.&nbsp;</li><li>Proficiency with relational and NoSQL databases as well as vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch/OpenSearch)</li><li>Knowledge of Spark-Scala, Ray or other distributed computing systems highly preferred&nbsp;</li><li>Knowledge of API development, containerization, and machine learning deployment highly preferred&nbsp;</li><li>Experience with ML Ops/AI Ops including experiment tracking tools like LangFuse and DVC&nbsp;</li><li>Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers Work in a way that works for you We promote a healthy work/life balance across the organization. </li><li>We offer an appealing working prospect for our people.&nbsp;</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate. </li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.</li></ul>

Overview: <ul><li>HR Operations, Payroll Management, Talent Acquisition, Manpower Plans &amp; HR Budgets, Driving Performance Management Process and Training &amp; Development.</li></ul> Responsibilities: HR Operations <ul><li>Employee Engagement</li><li>Manage Employee Relations: provide guidance and assist line managers in handling employee disciplinary issues based on HR policies &amp; procedures</li><li>Maintain employee profiles: staff registration, job offer, labor contract, contract liquidation, salary, probation, promotion, termination, etc.</li><li>Manage HR information system and handle employee inquiries</li><li>Assure through audits, reports are consistently administered in compliance with company policies and government regulations</li></ul> Talent Acquisition: <ul><li>Lead the recruitment and selection process</li><li>Handle the whole Life-cycle of staffing, such as on-boarding/off-boarding, new employee orientation, exit process/interview</li></ul> Manpower Plans &amp; HR Budgets; <ul><li>Work closely with Country Managers to finalize the HR Manpower Plans and HR Budgets</li></ul> Driving Performance Management Process: <ul><li>Spearhead end to end Performance Management Process in collaboration with Country Manager and Line Managers</li></ul> Training &amp; Development: <ul><li>Drive and deploy training and development programs and processes to reduce competency gaps</li><li>Lead local learning initiatives such as online learning and various learning tools based on business needs</li></ul> Requirements: <ul><li>4-5 years of experience in Human Resources including as HR generalist and/or managerial role;</li><li>Familiar with HR functions (Talent Acquisition, Compensation &amp; Benefits, Learning &amp; Development, HR management system, Performance Management, Talent Management);</li><li>Good communication skills (both verbal and written) in English;</li><li>Ability to work independently and effectively with cross functional teams, build relationships/ credibility across the organization and quickly assume responsibility in a new organization;</li><li>Good understanding of local labor market, labor law/regulations and practices;</li><li>Critical thinking and strong influencing skill;</li><li>Collaborative, trustworthy, well-organized self-starter;</li><li>Good personal and business ethics;</li><li>Good MS Office skills</li><li>Experience in pharmaceutical industry preferred</li></ul>

Responsibilities: <ul><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems. Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units. Overseeing the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Leading the development of advanced AI and machine learning models to solve complex business problems Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Leading the automation and lifecycle management of sophisticated data systems.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices.</li><li>Designing APIs for disseminating data science outputs to various business units.</li><li>Overseeing the scaling of production systems to meet growing demands.</li></ul> Requirements: <ul><li>Possess an advanced or Masters education in Computer Science, Mathematics, Statistics, or a related field. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.</li><li>Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.</li><li>Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.</li><li>Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.</li><li>Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess advanced programming skills in Python, R, or other relevant languages for data analysis.</li></ul>

Responsibilities: Market Analysis and Planning: <ul><li>Provide strategic feedback regarding partner landscape, and technology and solution trends within a local market (strategic)</li></ul> Partner Enablement: <ul><li>Build the partner Technical Business Plan</li><li>Analyze and give recommendations on partner technical needs, goals, and objectives. Involve learning partners and internal partner training to help the partner reach a higher technical</li></ul> sales and service capability: <ul><li>Ensure partner technical resources are provided appropriate products, solutions and architecture training.</li><li>Assist in training partner sales teams</li><li>Provide positioning and real time use case development training (for partner to use with customer) to senior partner technical leadership.</li><li>Focus training around architecturally</li></ul> positioning company solutions and services: <ul><li>Participate in development, measurement and management of the partner’s Technical Readiness Plan</li><li>Apply Requirements Processes as needed for key features / product requests</li></ul> Sales Coordination: <ul><li>Adapt existing or develop new company solutions that address a specific partner need</li><li>Cross communicate company and partner value propositions, especially between partner and company field SEs</li><li>Aggressively capture insight into strategic / high-value opportunities that the partner is pursuing and connect with company field team</li></ul> Partner Service and Support: <ul><li>Act as key contact and customer first contact point for partner technical issues within company</li><li>Educate partners and promote use of company remote support model and effective use of partner and customer support tools (e.g. TAC, TSN, Partner Helpline, PDI, etc.)</li></ul> Personal and Interpersonal Development: <ul><li>To show the value proposition thru partner practices</li><li>Provide feedback to company business units (Products and Marketing) on features and solutions gaps in current products and coordinated solutions (company / other vendors)</li><li>Research and build collateral positioning the technical trends of the internetworking industry</li><li>Become an expert in competitive landscape nuances in local market</li><li>Actively participate and contribute to company technical community discussions</li></ul> Qualify (Partner Led): <ul><li>Assist partner in refining and researching technical requirements of an opportunity</li><li>Provide support in customer meetings and seminars</li><li>Assist partner in qualifying customer technical requirements</li></ul> Requirements: <ul><li>Bachelor of Engineering degree or equivalent</li><li>8-11 years field technical sales experience as a Solutions Engineer or equivalent</li><li>Advanced technical knowledge in the Networking (SDx/Wireless), Security and Cloud &amp; Datacenter technologies.</li><li>Demonstrated self-starter and innovator</li><li>Validated relationship building skills</li><li>Great teammate</li><li>Shown ability to focus and achieve goals</li><li>Perform daily with the highest degree of integrity</li></ul>

Responsibilities: <ul><li>Solutions engineer role is a highly customer-focused technical sales provides in-depth technical information and specific design/implementation mentorship to one customer in a dedicated manner.&nbsp;</li><li>This solutions engineer role provides a sophisticated architectural perspective across the company architecture portfolios, including software and services, demonstrating of the broad company portfolio.</li><li>He / She collaborates with the rest of the sales ecosystem on strategic and complex opportunities and coordinates additional resources (e.g. consulting specialists, demo labs, etc.) to recommend, develop, and propose appropriate customer solution and services offerings.&nbsp;</li><li>Design and architect cloud-based networking solutions tailored for AI workloads (e.g., data center fabrics, edge computing, high-speed interconnects).</li><li>Present and demo networking solutions tailored for cloud and AI scenarios.</li><li>Leverage AI and ML for network optimization, anomaly detection, and predictive maintenance.</li><li>Looked to as a trusted technical advisor by the account team and customer allowing the systems engineer to identify company solution opportunities aligned to the customers business goals.</li></ul> Requirements: <ul><li>Bachelor of Engineering degree or equivalent</li><li>8-12 years field technical sales experience as a systems engineer/solutions architect or equivalent</li><li>Company product experience , pre-sales experience required.</li><li>Knowledge and strong operating experience in&nbsp;following areas of specialization: Compute hardware, HCI, Storage, backup, virtualization.</li><li>In-depth knowledge on Datacenter solutions like SDN, SDS, and compute hardware.</li><li>Knowledge of relevant solutions sets, product line specifications, performance criteria and applications.</li><li>Pro-active self-starter and innovator</li><li>Networking and relationship building skills</li><li>Phenomenal teammate</li><li>Consistent track record to focus and achieve goals</li><li>Perform daily with the highest degree of integrity</li><li>Excellent written and verbal communication, listening, negotiation and presentation skills.</li></ul>

Responsibilities: Team Leadership:&nbsp; <ul><li>Guide a team of Agile Leads, fostering professional growth and a positive work environment.</li></ul> Agile Expertise:&nbsp; <ul><li>Develop and refine processes and methodologies for product and project delivery, ensuring quality and efficiency.</li></ul> Collaboration:&nbsp; <ul><li>Facilitate cross-domain communication to promote innovation and knowledge sharing.</li></ul> Performance Analysis:&nbsp; <ul><li>Analyze KPIs and performance metrics to identify trends for continuous improvement.</li></ul> Project Support:&nbsp; <ul><li>Assist in defining and executing small projects, ensuring effective governance and stakeholder communication.</li></ul> Risk Management:&nbsp; <ul><li>Proactively identify and manage risks, ensuring timely escalation and intervention.</li></ul> Continuous Improvement:&nbsp; <ul><li>Foster a culture of ongoing learning and refinement in processes and practices.</li></ul> Conflict Resolution: <ul><li>Address and resolve conflicts, ensuring a focus on delivering business outcomes.</li></ul> Requirements: <ul><li>Strong understanding of Agile methodologies and frameworks.</li><li>Proven experience in leading organizational transformation and change management.</li><li>Proficient in Continuous Improvement strategies.</li><li>Knowledge of Governance &amp; Assurance principles.</li><li>Data-driven problem solver with strong analytical skills.</li><li>Ability to create and communicate clear goals aligned with business strategy.</li><li>Experience in talent recruitment, development, and retention.</li></ul>

Responsibilities: Leadership &amp; Team Management: <ul><li>Lead and mentor a globally based team of 4-6 direct reports and 20-40 indirect reports. Provide guidance, training, and development opportunities to drive team performance and individual growth.</li></ul> Deduction Management: <ul><li>Oversee and resolve customer deductions across various regions. Identify and address the root causes of deductions, including pricing discrepancies, overages, shortages, damages, and billing issues. </li><li>Ensure that the team meets established KPIs and SLAs.</li></ul> Collaboration &amp; Stakeholder Engagement: <ul><li>Partner with internal and external customers, including senior management, to resolve issues, identify trends, and promote solutions.</li><li>Build and maintain strong relationships with cross-functional teams, such as Sales, Finance, Supply Chain, and IT.</li></ul> Process Optimization &amp; Automation: <ul><li>Lead efforts to enhance the efficiency of the deduction management process, including implementing process improvements, software automation, and AI-driven tools to minimize errors and reduce processing times.</li></ul> Key Performance Indicators (KPIs): <ul><li>Drive the achievement of KPIs like Days Deductions Outstanding (DDO), Deductions as % of A/R Balance, and Invalid Deductions. Ensure the team consistently meets or exceeds established performance goals.</li></ul> Strategy Development &amp; Execution: <ul><li>Develop and implement strategies aligned with company goals and metrics. Work with Global Invoice-to-Cash partners to standardize processes and enhance transaction accuracy.</li></ul> People Development &amp; Mentorship: <ul><li>Foster a high-performing team culture through coaching, mentorship, and recognition. Promote continuous learning and career growth within the team.</li></ul> Audit &amp; Compliance: <ul><li>Ensure compliance with internal policies, GAAP, SOX, and audit requirements. Oversee timely completion of audits and reporting requirements.</li></ul> ﻿Requirements: Education: <ul><li>Bachelor’s Degree or equivalent experience (6+ years) in finance, accounting, or a related field with demonstrated leadership capabilities.</li></ul> Experience: <ul><li>4+ years of experience in Deduction Management, Invoice-to-Cash (ITC) processes, and Accounts Receivable (A/R) management. Proven experience in leading teams and collaborating cross-functionally.</li></ul> Skills: <ul><li>Expertise in ERP systems (SAP preferred) and MS Office tools (Excel, PowerPoint, etc.).</li><li>Strong problem-solving, negotiation, and decision-making skills.</li><li>Proven ability to manage complex customer relationships and resolve issues efficiently.</li><li>Knowledge of trade spend management and deduction validation processes.</li><li>Leadership Abilities:</li><li>Strong leadership skills with a focus on people management, team development, and performance optimization.</li><li>Ability to lead and influence others, driving continuous improvement and change.</li><li>Additional Requirements:</li><li>Ability to manage multiple priorities in a fast-paced environment.</li><li>Strong verbal and written communication skills.</li><li>Some travel and overtime may be required to meet business needs.</li></ul>

Responsibilities: <ul><li>To provide operational support for the overall Agile DevOps Platform, which includes:&nbsp;</li><li>Drive thought leadership in DevOps practices.</li><li>Work closely with Machine Learning Engineers to automate model training, testing and deployment into production using Continuous Integration/Continuous Delivery (CI/CD)&nbsp;</li><li>Hands on implementation and maintenance of CI/CD pipelines&nbsp;</li><li>Work closely with Security Architect to integrate security best practice into the pipeline&nbsp;</li><li>Identify and resolve problems in a timely fashion&nbsp;</li><li>Maintenance and upgrading of platform tools&nbsp;</li><li>Continuous monitoring of health of Agile products</li></ul> Requirements: <ul><li>Bachelor Degree in Computer Science</li><li>5+ Years experience in AWS Services, EKS, Kibana&nbsp;</li><li>Well-versed in agile ways of working and familiar with common tools including JIRA and Confluence&nbsp;</li><li>Experience in working in cross-functional Agile teams&nbsp;</li><li>A strong technical foundation in the following:&nbsp;</li><li>Good working experience with cloud-based technologies and architectures (AWS, Azure or&nbsp;&nbsp;&nbsp;GCP). AWS know-how is preferred&nbsp;</li><li>Experience with CI/CD practices and systems (e.g. git, git flow, trunk-based development).&nbsp;</li><li>Experience and good knowledge of Containerization (docker etc.)&nbsp;</li><li>Container orchestration using Kubernetes</li><li>Scripting language (shell, ruby/jruby, perl, python, powershell etc.)&nbsp;</li><li>Monitoring and data collection tools (nagios, splunk, and etc.)&nbsp;</li><li>SCM tools (git, bitbucket)&nbsp;</li><li>Build tools (ant, nant, rake, etc.)&nbsp;</li><li>Packet management (rpm, npm and etc.)&nbsp;</li><li>Configuration management tools (Ansible, chef, Terraform, puppet etc.)&nbsp;</li><li>Microservices architecture&nbsp;&nbsp;</li></ul>

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25 reinforcement learning Jobs found

Finance Analyst, Rotational Program

Senior Manager Data Science

Senior Data Scientist II

Head HR (Regional)

Senior Data Scientist

Partner Solution Engineer - SPaaCh (Service provider as a channel)

Solutions Engineer - Cloud and AI Networking

Agile Delivery Manager

Manager KNA Deduction Management

DevOps Engineer

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25 reinforcement learning Jobs found

Finance Analyst, Rotational Program

Senior Manager Data Science

Senior Data Scientist II

Head HR (Regional)

Senior Data Scientist

Partner Solution Engineer - SPaaCh (Service provider as a channel)

Solutions Engineer - Cloud and AI Networking

Agile Delivery Manager

Manager KNA Deduction Management

DevOps Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.