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Central Business Solutions, Inc (A Certified Minority Owned Organization) Address: 37600 Central Court Suite 214 Newark CA, 94560 Phone: (833) 247-8800 Fax: (510) 740-3677 Web: www.cbsinfosys.com Checkout our excellent assessment tool: www.skillexam.com Checkout our job board: www.job-360.net
Role Description Client is seeking a senior SAP PP/DS Solution Architect to lead end-to-end design and delivery of a complex production planning and scheduling solution. The role is onsite-leading and offshore-collaborating, requiring strong client stakeholder management. The ideal candidate is a hands-on architect with deep scheduling and optimizer experience and a track record of leading customer-facing engagements. Primary location is Nashville, TN with occasional travel to Bath, NY and Green Bay; remote with flexibility is acceptable for the right candidate. - Own end-to-end PP/DS solution design and delivery; lead the solution from onsite. - Drive PP/DS configuration across scheduling, heuristics, and optimizer-based planning. - Manage senior client stakeholders, facilitate workshops, and ensure alignment on solution direction. - Collaborate closely with offshore delivery team to translate design into execution. - Govern integration to surrounding SAP modules and external optimization tooling where applicable. Qualifications - 12–15 years of planning experience. - 2–3 full-lifecycle PP/DS implementations as Architect or Lead. - Very strong PP/DS scheduling and optimizer expertise. - Exceptional client communication and stakeholder management; ability to lead the solution from onsite. Requirements - Hands-on experience with third-party optimization tools (e.g., Gurobi). - Exposure to SAP BTP landscape.
• Own the end-to-end analytics lifecycle for leadership and key stakeholders, ensuring high-impact reporting is delivered on schedule. • Serve as the primary analytics lead for top-tier client requests, acting as a consultant to design solutions that address complex healthcare business challenges. • Establish and uphold data integrity standards by leading peer code reviews and providing expert guidance on SQL optimization and complex logic validation. • Oversee the reporting roadmap and project lifecycle via Jira and Confluence, ensuring transparent communication of project statuses. • Translate dense healthcare findings into compelling narratives and presentations that bridge technical complexity with business-critical decision-making. • Lead high-priority routine and ad-hoc analyses, including internal and external audits, delivering insights within accelerated timeframes. • Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architecture teams to develop automated, scalable solutions. • Approximately 60% writing SQL and/or Looker code for reporting and custom analyses, 20% collaborating with team members, and 20% communicating results to stakeholders.
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• Conduct fast-paced quantitative analyses in response to pollution episodes, energy market developments and other policy-relevant events, identifying impactful and policy-relevant findings. • Integrate, clean and analyse diverse proprietary, in-house and open datasets. • Produce reproducible code, robust methodology documentation, and reusable datasets. • Develop clear and effective data visualisations that communicate analytical insights. • Support research by combining quantitative analysis with domain expertise and desk research. • Develop new datasets, analytical tools and data products to strengthen CREA's research capabilities. • Work closely with colleagues to shape research questions and identify the most important analytical findings. • Contribute to reports, briefings and other research outputs by ensuring analyses are robust, transparent and reproducible.
• Responsible for mining big data, interpreting and analyzing complex data sets • Develops and deploys predictive models to analyze company performance and improve customer experiences • Applies statistical techniques and machine learning algorithms to identify trends within Mazda data • Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions
• Support clients across the alternative investment industry through project-based engagements. • Provide expert advice to Alternative Asset Firm and Family Office clients. • Develop data infrastructure, tools, and analysis to enhance investment processes. • Advise on vendor selection and oversight. • Create and implement policies, procedures, and control measures. • Analyze and evaluate client advancements towards goals through KPIs.
• Assist in developing, testing, and improving machine learning and AI models. • Support data collection, preparation, transformation, and analysis activities. • Participate in experiments and evaluations to identify opportunities for model improvement. • Collaborate with product, engineering, and analytics teams on AI-enabled solutions. • Create reports, dashboards, and visualizations that communicate findings and insights. • Contribute to documentation, presentations, and knowledge sharing within the team. • Learn and apply best practices in machine learning, software development, and data science. • Stay current on emerging AI, machine learning, and generative AI technologies.
• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. • Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. • Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. • Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. • Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.
• Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. • Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. • Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments. • Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products. Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability. Partner with Ads Engineering to operationalize complex causal models, ensuring that scientific methodologies are not only accurate but also performant, scalable, and resilient in high-throughput production environments. • Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes. Partner with modeling and ranking teams to translate measurement improvements into performance gains. • Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling. • Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices. Build repeatable systems that improve how Ads DS evaluates launches, monitors regressions, sizes opportunities, and communicates impact. • Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions. Translate complex scientific tradeoffs into clear business and product recommendations. • Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement science, identity evaluation, data quality, and cross-functional decision-making across Ads DS.
Role Description We are seeking a highly motivated Data Scientist Intern - Finance - to join our Finance team in a remote capacity. This internship is ideal for a student who has completed at least two years of undergraduate studies and possesses a strong foundation in data analytics, statistics, and finance. The successful candidate will partner with finance and operational leaders to develop predictive models, automate financial analyses, and generate insights that support decision-making within a manufacturing environment. This role offers a unique opportunity to apply advanced data science techniques to real-world financial challenges, including: - Forecasting - Cost analysis - Profitability modeling - Working capital optimization - Operational performance measurement Duties and Responsibilities - Develop, validate, and maintain data science and machine learning models supporting finance and manufacturing operations. - Build predictive models for: - Revenue forecasting - Demand planning - Cost and margin analysis - Working capital management - Cash flow forecasting - Inventory optimization - Analyze large datasets from ERP, financial, operational, and manufacturing systems. - Create dashboards, visualizations, and reports that communicate complex analyses to finance and business stakeholders. - Assist in identifying key business drivers and recommend opportunities to improve financial and operational performance. - Automate recurring financial reporting and analytical processes. - Collaborate with Finance, Supply Chain, Operations, and IT teams to gather requirements and deliver impactful analytical solutions. - Conduct statistical analyses and data quality assessments to ensure data integrity and model accuracy. - Present findings and recommendations to executive leadership and cross-functional teams. Qualifications - Currently enrolled in a Bachelor's degree program in: - Data Science - Statistics - Mathematics - Computer Science - Finance - Related quantitative field - Completion of at least two (2) years of undergraduate coursework. - Minimum cumulative GPA of 3.0 preferred. - Strong understanding of financial concepts, including: - Income statements - Balance sheets - Cash flow statements - Budgeting and forecasting - Financial performance metrics - Proficiency with Python and data analysis libraries (Pandas, NumPy, Scikit-learn). - Experience with SQL and data extraction techniques. - Knowledge of statistical modeling, predictive analytics, and machine learning concepts. - Strong analytical, problem-solving, and critical thinking skills. - Excellent written and verbal communication skills. - Ability to work independently in a remote environment while managing multiple priorities. Preferred Qualifications - Coursework or internship experience in corporate finance, financial analysis, or manufacturing analytics. - Experience with business intelligence tools such as Power BI, Tableau, or similar platforms. - Familiarity with ERP systems (SAP, Oracle, Microsoft Dynamics, or similar). - Knowledge of forecasting techniques, time-series modeling, and optimization methods. - Exposure to cloud-based analytics platforms (Azure, AWS, or Google Cloud). - Understanding of manufacturing KPIs and cost accounting principles. Learning Opportunities - Financial forecasting and strategic planning - Manufacturing finance and cost analysis - Advanced data science and machine learning applications - Financial modeling and business analytics - Executive-level reporting and decision support - Cross-functional collaboration within a manufacturing organization Competencies - Financial Acumen - Data-Driven Decision Making - Business Partnership - Attention to Detail - Analytical Thinking - Intellectual Curiosity - Adaptability - Collaboration - Results Orientation
IEM is committed to providing reasonable workplace accommodations for individuals with disabilities. If you require assistance or reasonable accommodation during any part of the application or employment process, please email IEMhumanresources@iem.com with specific details about the requested accommodation.
Role Description IEM is searching for a Full Time- Hazard Mitigation Planner III to develop hazard mitigation, climate adaptation, and resilience plans for communities across the U.S as well as to conduct risk assessments, analyze data, engage stakeholders, and produce high-quality technical documents. Primary Location: Live anywhere that meets remote work requirements within the United States, including Puerto Rico. Work remotely from home or personal office location. Travel Requirements: This position may require travel to complete work assignments or attend meetings. Essential Functions: - Serve as lead planner in the development and updating of: - Local, State, and Tribal Hazard Mitigation Plans - Resiliency and Climate Adaptation Plans - Implementation Plans - Other plans as required - Lead staff members from various disciplines to perform a range of planning functions. - Identify priorities, develop tasks, and make assignments. - Oversee the collection, documentation, and analysis of data related to hazard mitigation planning, community development, economic development, infrastructure, and land use. - Perform technical writing, review, and analysis of quantitative and qualitative data and information. - Review plans, reports, and other documents for relevant content. - Prepare written documents and reports based on data and information reviewed. - Coordinate, facilitate, and develop materials for public, stakeholder, and client meetings with state, local, tribal and federal officials, elected officials, residents, business leaders and technical experts. - Serve as the primary point of contact with stakeholders and clients. - Perform quality control/quality assurance (QA/QC) review of all applicable plans for FEMA review and approval. - Perform risk assessment analyses of hazard data and lead the development of planning documents. - Evaluate existing mitigation capabilities through research of local plans, regulations, policies and programs, and review of programs and documents. - Identify and describe cost-effective, technically feasible, and environmentally sound mitigation actions. - Perform other research and writing tasks as necessary to support a wide range of planning and mitigation/resilience tasks and overall plan development. - Assist with marketing and proposal development. Qualifications - Bachelor's degree in Emergency Management, Urban or Regional Planning, Community Planning, Sustainable Development, Public Health, Geography or related field. - Five (5) years of experience developing some or all of the items listed in the essential functions section of this solicitation. - Developed at a minimum five (5) FEMA-approved hazard mitigation plans. - Strong written and oral communications skills to support plan development and meeting facilitation. - Ability to lead multiple plan development projects simultaneously. - Expertise with the latest FEMA mitigation planning policy guidance. - Experience with climate and resiliency planning. - Experience with community outreach and engagement. - Proficiency with Microsoft Office software suite. - Understanding of fundamental project management principles. - Understanding of business and financial processes. - Self-motivated respondents with the ability to work as part of a team and independently to build strong customer relationships. - Demonstrated leadership and team coordination capabilities. - Understanding of potential funding sources to be used for hazard mitigation. - Completion of the following FEMA Independent Study courses or willingness to complete them within 3 months of hire: - IS-100.C Introduction to the Incident Command System, ICS 100 - IS-200.C Basic Incident Command System for Initial Response - IS-2700 National Mitigation Framework, an Introduction - IS-318.A Local Mitigation Planning Training - IS-328 Plan Review for Local Mitigation Plans - IS-329.A State Mitigation Planning Training - IS-350 Mitigation Planning for Tribal Communities - IS-393.B Introduction to Hazard Mitigation Preferred Qualifications - Master's degree in Emergency Management, Urban or Regional Planning, Community Planning, Sustainable Development, Public Health, Geography or related field. - Certifications including Certified Emergency Manager (CEM) certification, Associate Emergency Manager (AEM) certification, American Institute of Certified Planners (AICP), Certified Floodplain Manager (CFM), Project Management Professional (PMP), Six Sigma, or others; willingness to pursue relevant certifications is a plus. - Experience with ArcGIS and other relevant software products. - Bilingual in English and Spanish. - Knowledge of Emergency Operations Centers (EOC) and Incident Command System (ICS). - Technological hazard assessment experience. - Completion of additional FEMA Independent Study courses after hire: - IS-212.B Introduction to Unified Hazard Mitigation Assistance (HMA) - IS-271.A Anticipating Hazardous Weather & Community Risk, 2nd Edition - IS-201 Forms Used for the Development of the Incident Action Plan - IS-2200 Basic Emergency Operations Center Functions - IS-315.A CERT and the Incident Command System (ICS) - IS-700.B An Introduction to the National Incident Management System - IS-703.B NIMS Resource Management - IS-706 NIMS Intrastate Mutual Aid - An Introduction - IS-800.D National Response Framework, an Introduction Submission Requirements - Be prepared to provide a writing sample illustrating personal content and style of planning, analysis, and/or technical writing. Benefits - Annual salary based on location and experience: $85,000 - $100,000 - 10 paid Holidays - Vacation Pay - Sick Pay - 401 (K) plan with matching - Company paid STD and LTD Additional Information - Remote Locations: All remote work environments require the ability to maintain minimum Internet speeds of 25 Mbps upload and 3 Mbps download, as well as a ping rate of 100 ms or less during working hours, regardless of the type and number of devices using your Internet connection. You must also have account privileges and access to your Internet service provider account during working hours for the purpose of maintaining the Internet connection, if needed. - Equal Employment Opportunity: All IEM employment decisions, including recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment, if necessary, are made without regard to an individual's race, color, religion, creed, sex (including sexual orientation, gender identity, and gender expression), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, pregnancy (including childbirth and related medical conditions), marital status, military or veteran status, citizenship or immigration status, or any other characteristic protected under applicable law. - Reasonable Accommodation: IEM is committed to providing reasonable workplace accommodation for individuals with disabilities. If you require assistance or reasonable accommodation during any part of the application or employment process, please email IEMhumanresources@iem.com with specific details about the requested accommodation. All accommodation requests are reviewed case-by-case in compliance with applicable law.
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SQL, Python, Tableau, SAP, Pandas, Tensorflow
