2240 Scoring Jobs - Page 49

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Senior Analyst - Data Science Descriptions: We are looking for a results-driven and hands-on Lead Data Scientist / Analyst with 5–6 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members. Key Responsibilities: • Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions. • Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies. • Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data. • Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams. • Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling. • Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models. • Ensure data quality through systematic QC checks, test case creation, and validation frameworks. • Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows. • Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics. • 5+ years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling. • At least 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings. • Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL. • Experience with MLOps practices, including version control, model monitoring, and automation. • Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement). • Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP). • Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering. • Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining. • Familiarity with dashboarding tools like Tableau or PowerBI is a plus. • Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences. • Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines. Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.

Description The Site Safety Officer will be responsible for partnering with a site operations team in a Fulfillment Center to execute company safety policies and ensure compliance to all applicable local and regional regulations. By leveraging lean principles and kaizens, this individual will lead continuous improvement initiatives to reduce conditional and ergonomic risk in our processes to ensure a safe and healthful working environment for our Associates. The Site Safety officer must demonstrate the ability to build trust and confidence with the Operations Team and influence change through providing comprehensive risk assessments and safety data analysis. The Site Safety officer must be an effective communicator and send clear, concise and consistent messages, both verbally and in writing. This individual must instruct and train Operations Leaders in company safety policies and assist the operations site teams in incorporating our safety standards at their site. The Site Safety officer will be required to identify best practices and incorporate these best practices into our standards to continuously improve company safety policies. The Site Safety officer will be required to possess excellent safety program and relevant safety, environmental and ergonomic knowledge and demonstrates this expertise when working with Operations. The Site Safety officer will be responsible to lead a safety team members: Safety Specialist, Safety Coordinators, Onsite first aid Associates. This individual must create and execute leadership development plans for their Safety Associates on their team. They must communicate safety team expectations and give frequent and appropriate feedback to their safety teams and ensure they are executing to the core competencies of an Amazon safety professional. Safety Officer Responsibilities Provide guidance and oversight to ensure compliance to all applicable Amazon Safety Policies. Measure sites’ performance against published requirements in safety policies. For all deficiencies, identify a plan for the site to implement and fix all identified deficiencies. Deliver on-time and quality projects to Operations. Analyze safety metrics and review incident weekly and monthly incident trends to discover trends to justify the allocation of appropriate resources to areas where the safety risk is highest. Perform frequent site safety audits to identify all non-compliance equipment and/or processes at the site. Implement solutions to eliminate exposure to these risks and prevent injury at other FCs. Audit recordkeeping practices and Global Safety Database entries to ensure compliance to global safety standards and local regulations. Audit the workplace organization and Associate behaviours to ensure that training, auditing and scoring methods are accurate and consistent. Manage and mentor Safety Associates in your assigned FC. Spend time at the fulfilment centers and seek input from Safety teams, Associates and leaders on safety program improvement opportunities. Ensure open communication on status of progress and resolution against these suggestions. Ensure site leadership and Associates are trained and knowledgeable of their responsibilities under each policy. Audit the quality, delivery (including qualifications of the trainer), and effectiveness of all required safety training. Basic Qualifications 2+ years previous experience in Environment, Health & Safety or ME in Industrial Safety Engineering Bachelor’s degree in engineering or a related field required. Experience in reputed private or government organisations Experience managing multiple direct reports. Must be flexible regarding shifts. Experience implementing lean principles and process improvement in an operational environment. Experience managing multiple direct reports. Preferred Qualifications Fulfillment Center or Manufacturing Safety experience with mix of exempt and non-exempt employees at a site of at least 200 people preferred. Master’s degree preferred Experience in a fast paced, changing/growing organization Government Certified Safety Professional preferred Excellent written and verbal communication skills, including comfort interfacing with site leaders. Ability to develop and implement department goals and strategies. Strong analytical skills with demonstrated problem solving ability. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Maharashtra Job ID: A3019595

The Credit Portfolio Senior Analyst is an intermediate-level position responsible for conducting credit reviews, credit approval and monitoring the portfolio to identify credit migration in coordination with the Risk Management team. The overall objective of this role is to manage Citi's portfolio exposure to clients and counterparties globally. Responsibilities: Contribute to the development of new techniques and improvement of processes and work-flows by applying in-depth disciplinary knowledge and integrating subject matter and industry expertise within Risk Management Develop recommendations to adjust credit policies by analyzing credit and financial performance and utilizing statistical scoring, segmentation, and regression and simulation techniques Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, reconciliation, and quality testing Research customer and/or management queries using risk systems and data and support ad-hoc risk policy analyses and projects as required Participate in developing, testing, and optimizing credit policies, ensuring consistency and regulatory compliance, and assist in the implementation of those policies, processes and other related initiatives Manage risk levels for the entire credit spectrum across multiple products and retail formats and prepare risk management presentations for senior management Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 7+ years of relevant experience Knowledge of Collections Risk analytics Ability to apply credit and risk principles toward business goals Demonstrated ability to synthesize, prioritize and drive results with a sense of urgency Proven ability to remain organized in a fast-paced environment, managing multiple projects Proven interpersonal, organizational and analytic skills Education: Bachelor's degree/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Portfolio Credit Risk Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Constructive Debate, Escalation Management, Industry Knowledge, Policy and Procedure, Policy and Regulation, Process Execution, Product Knowledge, Risk Controls and Monitors, Risk Identification and Assessment. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Overview We’re looking for a leader within the Customer Success team at Cvent to manage, coach and lead a group of our Customer Success professionals who work with Cvent’s Event Management platform. This individual is responsible for managing the quality, productivity and day-to-day of our success advisors that work with customers to drive adoption, achieve desired outcomes, ensure success with the platform and identify opportunities for expansion and ultimately contract renewal. This position requires a dynamic professional who can liaise with other teams and departments in a professional manner, and can effectively communicate with team members, leadership and clients. Measuring key performance metrics, coaching team members, acting on client satisfaction and handing escalations are all requirements of this position. The ideal candidate must be an engaged leader with the ability to inspire others, drive change and embrace a continuous improvement culture. In This Role, You Will Manage the quality, development, productivity and day-to-day of our Outreach Specialists that work with customers to drive adoption, achieve desired outcomes, ensure success with the platform, and identify opportunities for expansion and ultimately contract renewal Perform coaching sessions and deliver feedback on the quality of customer engagements Provide strategic guidance and support to reps on providing value-driven outreach and conversations with customers Conduct structured, bi-weekly 1:1s with team members to review client priorities, projects, performance objectives and goals Determine team member’s goals and assignments based on strong knowledge of individual’s strengths, opportunity areas and interests Coordinate and assign recourses to customer facing tasks Manage day-to-day operations of team through real time management Manage customer escalations, handling them through resolution Perform Root Cause Analysis (RCA) and call down customers based on their feedback Give input to performance reviews and performance improvement plans when necessary Provide input for monthly and quarterly business reviews for leadership Identify business improvements that align with company goals to drive the customer and employee experience Here's What You Need A minimum of 5-7 years of overall work experience, with at least 1 of those in a leadership position. Relevant experience determines the job title of Team Lead or Assistant Manager. Previous experience in B2B customer success, account management or other client facing roles. Demonstrates strong leadership and people management skills. Enthusiastic and engaged leader with the ability to inspire others. Excellent interpersonal skills. Must be a strong communicator at all levels and be able to present in large meetings to key stakeholders. Contributes to a climate of innovation and continuous improvement to achieve Cvent’s goals. Demonstrates ability to manage quality and productivity on a high performing team through variation management. Demonstrates personal excellence, accountability and integrity. Ability to track key performance metrics and implement solutions to meet client needs. Microsoft Office software proficiency, with strong Excel, Word and PowerPoint skills. Technical aptitude with strong ability to learn software and upskill. Previous experience in SaaS and event industry experience is a plus. Knowledge of CRM automation products such as Salesforce and Gainsight. Exposure to operational frameworks that focus on data-driven measurement, client satisfaction scoring of service delivery is a plus.

Objectives: Positions within Global Consumer Risk Management of Citi for Non Regulatory Decisions models model performance monitoring, forecast reporting and analytics for Unsecured portfolios. Core Responsibilities: This position within Global Consumer Banking will focus on model performance Monitoring, Analytics & Insights for Non-Regulatory Decision Models for Unsecured products (e.g., Credit Cards). The responsibility includes but not limited to the following activities: Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning. Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models. This would include performance assessment, drill down root cause analysis for performance deterioration, coming up with mitigation action providing rational for continued usage of the model without business impact. Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance; understanding the incremental benefit the models bring to Risk strategies. Defend model performance to second line (Model Risk Management) of defense providing rational of model performance deterioration (if any), explaining the applicability of the usage of the model. Respond to queries from 3rd Line of Defense (Internal and External Auditors) on model performance. Work effectively across cross functional teams - Development, Implementation, Policy, Validation and Governance teams - coordinating the horizontal model usage and maintenance activities. Perform analysis for benchmark models and other adhoc analysis as required by business/validation teams. Develop knowledge and drive discussions on Model usage across channels, score range with Risk Strategy managers. Conduct QA/QC on all steps (e.g., input data, model output, etc.) required for model monitoring and production forecast reporting. Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents. Understand model variables and economic forecasts and conduct drill down analysis and reporting of model performances. Deliver end user computing process related mandates. Expected to manage own projects independently. Train and mentor junior team members on Model Monitoring, generating insights from different analysis required by business. Individual Contributor Education: Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc. MBA s should apply only if they are interested in career in specialized quantitative risk management discipline. Skillset Strong programming (SAS, R, Python, etc.) skills. Experience in reporting tools - Excel, Tableau, Cognos Understanding of traditional modeling processes (linear/ logistic regression, segmentation, decision tree) and machine learning algorithms (Random Forest, Gradient Boosting, XG Boost, SVM, etc.), time series, linear/nonlinear optimization. Understanding of relevant model metrics / KPIs & bring out insights on model performance tracking. Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences is a must. Extensive experience in model monitoring/validation, performance scorecards, etc. in Excel, Tableau, Cognos, etc. Experience in developing optimal/ automated solution of reporting processes using SAS, Excel VBA, Tableau will be a plus. Experience 2-5 YEARS reporting & analytics experience. At least 2 years of extensive experience in reporting (risk/marketing) in portfolio reporting, model monitoring, generating business insights. ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Risk Analytics, Modeling, and Validation ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Position: Search Engineer Location: Remote Experience: 6+ years Job Description: Highly skilled Search Engineer with deep expertise in designing, implementing, and optimizing search solutions using Apache Solr, Elasticsearch, and Apache Spark . Need substantial experience handling big data search and document-based retrieval, with a strong focus on writing complex queries and indexing strategies for large-scale systems. Key Responsibilities: · Design and implement robust, scalable search architectures using Solr and Elasticsearch. · Write, optimize, and maintain complex search queries (including full-text, faceted, fuzzy, geospatial, and nested queries) using Solr Query Parser and Elasticsearch DSL. · Work with business stakeholders to understand search requirements and translate them into performant and accurate queries. · Build and manage custom analyzers, tokenizers, filters, and index mappings/schemas tailored to domain-specific search needs. · Develop and optimize indexing pipelines using Apache Spark for processing large-scale structured and unstructured datasets. · Perform query tuning and search relevance optimization based on precision, recall, and user engagement metrics. · Create and maintain query templates and search APIs for integration with enterprise applications. · Monitor, troubleshoot, and improve search performance and infrastructure reliability. · Conduct evaluations and benchmarking of search quality, query latency, and index refresh times. Required Skills and Qualifications: · 4 to 5 years of hands-on experience with Apache Solr and/or Elasticsearch in production environments. · Proven ability to write and optimize complex Solr queries (standard, dismax, edismax parsers) and Elasticsearch Query DSL, including: o Full-text search with analyzers o Faceted and filtered search o Boolean and range queries o Aggregations and suggesters o Nested and parent/ child queries · Strong understanding of indexing principles, Lucene internals, and relevance scoring mechanisms (BM25, TF-IDF). · Proficiency with Apache Spark for custom indexing workflows and large-scale data processing. · Experience with document parsing and extraction (JSON, XML, PDFs, etc.) for search indexing. · Experience integrating search into web applications or enterprise software platforms.

Company Overview We are a global fintech leader in securities finance, driving industry transformation through innovative, market-leading technology. Our SaaS solutions and tailored services support financial institutions across every stage of the securities finance lifecycle from trading and post-trade processing to data, analytics, regulatory compliance, and end-to-end securities finance platform delivery. Trusted by over 190 institutions in more than 30 markets worldwide, we help clients streamline operations, meet regulatory requirements, and unlock valuable market insights. Team Overview Join our Marketing & Communications team, where we support EquiLend's growth through data-driven marketing campaigns and technology-led engagement strategies. We are looking for a team member based in Bengaluru or Chandigarh to help power the technical side of our demand generation and growth marketing efforts. In this role, you'll work closely with Marketing, Sales, Product and RevOps to manage key marketing platforms, support campaign execution, and maintain our public website. This is a great opportunity for someone with hands-on experience across marketing technology and campaign operations to take the next step in their career at a leading global fintech company. Role Responsibilities Maintain and update our WordPress-based website, ensuring pages are current, formatted correctly, and free of technical issues. Support backend site changes, general maintenance and troubleshoot website issues in coordination with internal stakeholders or external vendors. Own the day-to-day setup and management of marketing automation campaigns within Salesforce Account Engagement (Pardot). Own and maintain all segmented lists (static and dynamic) within Salesforce Account Engagement (Pardot). Own the creation, routing, optimization and maintenance of all Pardot lead generation forms on the website and landing pages. Build landing pages in WordPress and Salesforce Account Engagement (Pardot), format e-blasts and create web forms tied to lead generation activities. Implement automation workflows tied to email marketing and lead nurturing campaigns. Work with the Salesforce admin to support tracking across the lead funnel and assist in aligning campaign data with sales pipeline outcomes. Maintain lead scoring, routing, tagging and automation workflows. Build and maintain reporting and dashboards in Salesforce and PowerBI to support performance visibility for pipeline, MQLs, SQLs, campaign ROI, etc. Implement and own attribution modeling and campaign performance analysis. Manage marketing calendars, project timelines and campaign trackersAssist with the integration and upkeep of the broader marketing tech stack, ensuring data flows and tools are correctly configured. Provide technical support to the wider marketing team. Required Skills Strong working knowledge of Salesforce and Salesforce Account Engagement (Pardot). Hands-on experience with WordPress, including editing pages and backend maintenance. Familiarity with HTML, CSS and JavaScriptA background in working within a marketing, demand generation, or sales function in a technical support capacity. Basic experience with marketing analytics and building dashboards in Salesforce or Power BI preferred. Demonstrates excellent attention to detail and a proactive approach to problem solving. Comfortable working across teams and communicating clearly with technical and non-technical colleagues. Open to learning new tools and systems as the marketing tech stack evolves. Role Location Benefits Hybrid Working: Enjoy the flexibility of working remotely each week Variable Pay: Annual performance related variable pay award to reward your performance and contributions to the company's success. Generous Vacation Days Per Year: Take advantage of paid vacation days annually, plus public bank holidays. Family Health Insurance Coverage: Comprehensive health insurance coverage for you and your dependents available from your first day. Personal Accidental Injury Insurance: Feel secure with personal accidental injury insurance provided from the start of your employment. Annual Team Building Retreat: Participate in an annual team-building retreat at a new and exciting location each year Diversity & Inclusion At EquiLend, we are committed to fostering an inclusive and diverse workplace where everyone is respected and valued. We believe that a variety of perspectives drives innovation and strengthens our success. If you require any reasonable accommodations during the interview process, please let us know - we're here to support you. #LI-Hybrid

Job description Plan, prepare, and deliver high-quality IELTS preparation classes to students. Develop lesson plans, materials, and activities that are engaging and effective for IELTS preparation. Provide constructive feedback and guidance to students to help them improve their English language skills and achieve their target band scores. Administer and evaluate practice tests to monitor students' progress and identify areas for improvement. Keep abreast of changes to the IELTS exam format and update teaching materials and methods accordingly. Create a supportive and motivating learning environment for students. Requirements: Bachelor's degree in English, Education, Linguistics, or a related field. IELTS certification is required. Minimum of 2 years of experience teaching IELTS preparation classes. Excellent command of the English language, both written and spoken. Familiarity with the IELTS exam format and scoring criteria. Strong interpersonal and communication skills. Ability to work effectively with students from diverse cultural backgrounds. Patient, enthusiastic, and passionate about teaching. Job Type: Full-time Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Leave encashment Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) Work Location: In person

We are seeking a dynamic and results-driven Digital Marketing Manager to lead our digital initiatives across lead generation, email marketing, content creation, and technical marketing. You will play a critical role in driving qualified leads, optimizing digital funnels, and scaling brand visibility across platforms. Key ResponsibilitiesLead Generation Plan, execute, and optimize B2B and B2C lead generation campaigns across channels (search, social, email, landing pages). Set up and monitor lead magnets, funnels, and automation workflows to increase conversions. Manage CRM integrations and lead scoring systems. Email Marketing Develop and manage targeted email campaigns focused on nurturing and converting leads. Build segmentation strategies, A/B testing, and performance tracking. Maintain list hygiene and ensure compliance with email marketing regulations (CAN-SPAM, GDPR). Content Creation & Writing Oversee and create high-quality, SEO-optimized content for blogs, emails, case studies, landing pages, and social media. Work closely with designers and developers to deliver content that supports brand tone, value, and lead goals. Edit and proofread for clarity, tone, and consistency. Requirements Bachelor’s degree in Marketing, Communications, or related field. 3–6 years of experience in digital marketing with a proven track record in lead generation and email marketing. Strong command of marketing automation tools, CRM systems, and analytics platforms. Excellent writing, editing, and content strategy skills. Strong analytical mindset and ability to interpret campaign performance. Preferred Skills Experience with SEO tools (Ahrefs, SEMrush, Screaming Frog). Understanding of B2B SaaS or tech marketing. Familiarity with A/B testing tools and CRO frameworks. Certifications in HubSpot, Google Analytics, or similar platforms are a plus. Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹850,000.00 per year Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Experience : 2.00 + years Salary : INR 1500000-2500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Pune) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Anervea.AI) (*Note: This is a requirement for one of Uplers' client - Anervea.AI) What do you need for this opportunity? Must have skills required: Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, Forecasting, Python, SQL, MLFlow, pandas, Scikit-learn, XgBoost Anervea.AI is Looking for: As an ML / Data Science Engineer at Anervea, you’ll work on designing, training, deploying, and maintaining machine learning models across multiple products. You’ll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. You’ll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required : Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering, model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes : Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomes—not just code Bonus Qualities : Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Dear Candidate, Tutor for English/College Essay Writing subject at a reputed online tutoring company, headquartered in the United States. The company boasts of a network that includes certified teachers, college professors, graduate students, and professionals with Masters Degree, Ph.D.’s, and Ivy League credentials Tutor duties & responsibilities Work one-on-one with students to provide them with strategies for writing skills Provide effective feedback against recommended parameters for university level essays for different courses Demonstrate effective knowledge of concepts related to general writing, college level essays/essay types/paper types. Demonstrate proficiency in grammar, grammar concepts, and in teaching these concepts to students Designing and delivering various tutoring strategies to ensure understanding, learning, and growth of students Prepare students to effectively work on writing different essay assignments at university level Maintain professionalism in tutoring and enhance company’s reputation for quality in tutoring service Having a flexible approach to tutoring students to ensure adequate learning and growth Tutor Qualifications Bachelor’s Degree in English/Teaching/Literature Preferred – Masters Degree in English/Teaching/Literature, M.Phil. / Ph.D. (English/Literature), CELTA/TEFL/TESOL Shift Window: 10:30 pm to 8:30 am Working hours - Minimum 3 Hours to Maximum 8 Hours Desired skills Current teaching/tutoring techniques Competence in core subject area/essays & essay types for university students University level courses/subjects Proficient in the language with adequate knowledge of concepts in grammar & mechanics Microsoft Office tools Evaluation and feedback techniques Required Candidate profile: Ability to perform independently without discussing scoring decisions with co-workers Be reliable and punctual. Accept supervision from development staff, team leaders, or scoring supervisors. Some form of prior teaching experience About Trivium Trivium is a 5000+ people strong company. In a short span, we have established a strong reputation and long-term client relationship with some of the pioneers in the education industry. Our pool of experts has proficiency in an array of subjects with an understanding of State and Common Core standards in the US and the Central and State boards in India.

We are looking for a highly motivated and skilled Salesforce Data Cloud Architect to design, develop, and optimize Data Cloud data model and use cases. The successful candidate will work closely with cross-functional teams, including Marketing, IT, and Data Analytics, to bring dynamic content and tailored experiences to our customers. Job Description: Key Responsibilities: Lead the end-to-end implementation of Salesforce Data Cloud (CDP), including data acquisition, integration, quality assurance, and utilization. Configure and implement data-driven segmentation strategies, ensuring accurate audience targeting and content delivery. Design, document and implement data models, data pipelines, and transformations to support data ingestion, integration, and enrichment within Salesforce Data Cloud. Be curious and up-to-speed with the fast-paced releases coming to the platform. Collaborate with IT teams to ensure seamless data integration, troubleshoot technical issues, and optimize system performance for data initiatives. Integrate data from various sources, including CRM systems, databases, and third-party platforms, to support marketing and personalization efforts. Provide training and support to development teams on utilizing Salesforce Data Cloud features and capabilities. SFDC Skills: Configure and optimize Data Cloud platform to meet business needs. Integration of Data Cloud with Salesforce CRM Salesforce MC Salesforce Marketing Intelligence Websites/microsites - using SDK method (setup connectors, sitemaps, schema, data streams) Snowflake Other sources Set up and manage data streams from various sources, ensuring seamless data flow Configure and develop criteria’s for Identity management, data transformations and calculated insights Configure and develop Lead scoring based on customer data from CRM and engagement data from different touchpoint such as website, MC engagement using data transformations and calculated insights Configure data transformations for data lake objects Develop and maintain data models that enhance data quality and usability. Assist in the creation of customer segments and support marketing and analytics teams. Monitor the platform to detect and resolve disruptions or errors promptly Qualifications: Bachelor's degree in Computer Science, Information Technology, Marketing, or a related field. Proven experience (2+ years) with a strong focus on Salesforce Data Cloud and/or custom database solutions Salesforce Data Cloud Consultant certification strongly preferred. Strong understanding of marketing automation, data segmentation, and personalized customer journeys, decisioning and Next Best Action. Experience with data integration and API utilization. Expertise in data modeling, ETL processes, data integration tools, and SQL. Experience with customer data platforms (CDPs) and data management practices, including data governance and compliance. Excellent problem-solving skills and attention to detail, with the ability to troubleshoot operational challenges. Familiarity with cloud technologies (e.g., AWS, Azure, GCP) and data modeling/scoring technologies. Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams. Location: DGS India - Pune - Baner M- Agile Brand: Merkle Time Type: Full time Contract Type: Permanent

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Collibra Data Quality & Observability Good to have skills : Collibra Data Governance Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are functioning optimally. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency. Key Responsibilities: Configure and implement Collibra Data Quality (CDQ) rules, workflows, dashboards, and data quality scoring metrics. Collaborate with data stewards, data owners, and business analysts to define data quality KPIs and thresholds. Develop data profiling and rule-based monitoring using CDQ's native rule engine or integrations (e.g., with Informatica, Talend, or BigQuery). Build and maintain Data Quality Dashboards and Issue Management workflows within Collibra. Integrate CDQ with Collibra Data Intelligence Cloud for end-to-end governance visibility. Drive root cause analysis and remediation plans for data quality issues. Support metadata and lineage enrichment to improve data traceability. Document standards, rule logic, and DQ policies in the Collibra Catalog. Conduct user training and promote data quality best practices across teams. Required Skills and Experience: 3+ years of experience in data quality, metadata management, or data governance. Hands-on experience with Collibra Data Quality & Observability (CDQ) platform. Knowledge of Collibra Data Intelligence Cloud including Catalog, Glossary, and Workflow Designer. Proficiency in SQL and understanding of data profiling techniques. Experience integrating CDQ with enterprise data sources (Snowflake, BigQuery, Databricks, etc.). Familiarity with data governance frameworks and data quality dimensions (accuracy, completeness, consistency, etc.). Excellent analytical, problem-solving, and communication skills. Additional Information: - The candidate should have minimum 7.5 years of experience in Collibra Data Quality & Observability. - This position is based in Mumbai. - A 15 years full time education is required.

K&K Talents. is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in India who is actively hiring candidates to expand their teams. Title: Data Scientist Location: Pan India Employment Type: C2H Salary Budget: 60K - 70K p.m Experience: 3 to 5+ years Role Summary: As a Data Scientist / AI Expert, you will lead the development of intelligent systems that enhance fraud detection, transaction scoring, and customer insights. You will work on training ML models using real-time and historical payment data while ensuring data privacy and compliance. Key Responsibilities: Build ML models for fraud detection, anomaly detection, and transaction scoring. Analyze large volumes of transactional, behavioral, and device data. Create data pipelines and feature engineering workflows. Collaborate with backend teams to integrate AI models …

Senior Data Scientist Location: Remote (Sri Lanka or Global – flexible timezone overlap preferred) Type: Full-time Salary: $4,000 – $6,000/month Company: Huex About Huex Huex helps global companies build high-performance product teams using Sri Lanka’s top 3%™ talent , enhanced by our proprietary aiBoost™ framework . From healthcare and fintech to real estate and AI startups, our teams deliver scalable, innovative solutions at startup speed. We’re now looking for a Senior Data Scientist to lead high-impact data science projects across our client base—building intelligent systems, AI-integrated features, and performance-driven models that accelerate decision-making and product outcomes. What You’ll Be Doing Design, develop, and deploy ML models and data pipelines for real-world client applications Build recommendation engines, scoring systems, and predictive tools using behavioral and transactional data Collaborate with product, engineering, and design teams to embed data intelligence directly into customer-facing platforms Leverage AI tools (e.g., LLMs, embeddings, OpenAI APIs) to automate content, messaging, or decision-making flows Create dashboards and insights that drive decisions for clients and internal teams Mentor junior data professionals and contribute to internal documentation and best practices Work on a wide range of projects, from PoCs to production-ready models, across industries like proptech, healthtech, and retail Tools & Tech Stack Languages: Python, SQL ML/NLP Libraries: scikit-learn, XGBoost, HuggingFace, TensorFlow, PyTorch Data Engineering: Pandas, Airflow, DBT, Postgres, Snowflake Visualization: Looker, Streamlit, Power BI, or Metabase Bonus: Experience with LLM APIs, vector databases, or prompt engineering Must-Have Qualifications 5+ years of experience as a data scientist or ML engineer in production environments Strong grasp of data modeling, statistics, and experimentation Experience building and deploying end-to-end ML pipelines Excellent communication skills to work cross-functionally with remote teams and clients Ability to manage multiple projects and ship high-quality work under tight timelines Bonus Points Experience working in B2B SaaS, early-stage startups, or agency-style project settings Exposure to AI-powered automation tools like ChatGPT, Claude, or Midjourney Comfort working with product managers, marketers, and non-technical stakeholders Why Join Huex? Collaborate with elite teams across 20+ global markets Work on high-impact projects across industries Leverage AI and automation to increase your effectiveness Learn, grow, and contribute to the next generation of AI-native teams Flexible remote culture, high trust, and performance-first mindset

As we scale our outbound efforts, we’re looking for someone who lives and breathes data enrichment, automation, and AI prompting— speci fi cally inside Clay . This is about helping us build, test, and scale high-performing lead generation engines using Clay’s full potential. Must-Have Skills Clay Power User Expert in Clay workflows: tables, filters, lookups, AI columns, and integrations Automating multistep enrichments (e.g., domain → LinkedIn → email/phone → tagging) Understanding credit optimization: when and where to use sources like Apollo, Clearbit, Dropcontact, etc. Building smart workflows using lookups, fallback logic, and ICP-based scoring Writing smart AI prompts using {​{tokens} }, AI chaining, an dconditional logic Using OpenAI/Anthropic to extract insights and drive personalization at scale ;Troubleshooting failed enrichment issues, API errors and ensuring smooth data flow ;Bringing structure to outbound: lead scoring, signal tracking, and clean segmentation. ; ;Strong English (wr it ten and spoken) ;Independent , ;reliable, and able to manage your deadlines ;Good to have Skills ;Familiar with Zapier, Make, or n8n to trigger workflows outside Clay. ;Can write regex or simple JavaScript for advanced transformations. ;Understands outbound strategy and how data quality impacts reply rates. ;Experience working with Sales Ops, SDRs, or GTM team s. ;What You'll Be Doing ;Build and manage enrichment workflows for multiple client accounts. ;Work closely with Project Managers to ensure clean, prioritized lists with verified data. ;Reduce time spent per lead while improving personalization potential and conversion rates. ;share your resume to hr@marsdata.i n

Location: In-Person | Novel Tech Park, HSR Layout, Bengaluru Type: Full-Time What We’re Building At Sapience1, we’re on a mission to transform how families discover and access youth services from academics and enrichment to life skills and care using behavioral AI, intelligent design, and seamless technology. We’re not building just another app. We’re engineering the future of Human Experience Tech where services feel smart, personal, and human. We’re looking for a builder — someone who thrives in fast-moving environments and loves turning complex challenges into real-world products. Job Description We are seeking a talented ML Model Training Engineer to be a key contributor to the Hello Edison™ AI Engine, the core intelligence of the Sapience1 platform. You will be responsible for designing, developing, and optimizing machine learning models for personalized matchmaking, recommendation systems, and behavioral insights. Your work will directly enhance the platform's ability to create meaningful connections between families and service providers. Responsibilities Design, implement, and optimize machine learning models for key Hello Edison™ functionalities, including: Matchmaking and compatibility scoring (AI Fit Score). Personalized recommendations for Members and Partners. Behavioral pattern detection for performance optimization and churn prediction. Develop data pipelines for collecting, cleaning, and preparing diverse datasets from Member insights, Partner assessments, session feedback, and usage patterns. Conduct feature engineering and selection to improve model accuracy and performance. Train, evaluate, and fine-tune ML models using appropriate frameworks and techniques. Collaborate with Backend Engineers to integrate ML models into production systems via APIs. Monitor and maintain the performance of deployed ML models, identifying areas for continuous improvement. Research and apply state-of-the-art ML techniques to enhance the AI engine's capabilities. Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field. 2+ years of experience in developing and deploying machine learning models. Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy). Experience with data processing and ETL pipelines. Understanding of various ML algorithms (e.g., recommendation systems, supervised/unsupervised learning, NLP basics). Familiarity with cloud platforms (e.g., AWS SageMaker, Google AI Platform) for ML model training and deployment. Experience with version control systems (Git). Excellent problem-solving skills and ability to work with large datasets. Compensation Competitive, based on experience. 18,00,000 - 24,00,000 LPA

Designation - Senior Associate – Garment Costing & Sourcing Location - Mumbai, Lower Parel About Us: The Souled Store is a homegrown youth casual-wear brand started in 2013. We are one of India’s largest online merchandising platforms with licenses like Disney, Warner Bros; WWE, IPL, Viacom18 to name a few. Apart from selling products with themed designs such as superheroes, movies, TV shows, and cartoons, the brand also is at the forefront of the latest youth style and fashion trends. In addition to core men and women wear apparel categories, we have also expanded to new categories and introduced new product lines like activewear, supima products, innerwear, personal care products like perfumes etc. We have also launched footwear and kidswear recently. Although we are primarily an online brand, we’ve expanded in the offline retail space as well and have stores pan India. The Souled Store was born out of the idea of loving what you do, from the soul. We believe that people do their best work when they love what they do. There are too many Monday mornings and you can’t go dreading every single one of them. Over the years, we have built a strong team of like-minded people that work smart, own their work, and think like leaders. If you identify with what we do and are interested in being a part of an aggressively growing brand, we would love to have you on Board! Work Overview : We are seeking motivated and detail-oriented Senior Associate to join our Founders office/ SCM team . This team plays a critical role in ensuring cost-effective sourcing of garments by evaluating vendor capabilities, negotiating costs, and supporting better vendor allocation strategies. The ideal candidate will have a strong interest in fashion and supply chains, paired with a data-driven mindset to help bring measurable improvements to sourcing outcomes. Responsibilities: Garment Costing & Analysis Assist in evaluating garment cost breakdown for new and existing styles. Analyze cost components (fabric, trims, labor, logistics) to identify cost-saving opportunities. Assist in defining cost Benchmarks across vendors and by product category, fabric type to identify areas of savings Develop and maintain Excel dashboards and tools for cost tracking, vendor scoring, and sourcing performance reviews. Vendor Evaluation & sourcing strategy Organize, maintain and analyse vendor data including capacities, capabilities, quality, cost history and performance. Assist in vendor performance analysis such as cost competitiveness, on-time delivery, order accuracy, and quality KPIs. Order Allocation & Planning Organise and analyze data for past orders, complexity, lead time, past cost and quality performance and vendor strengths. Assist in identifying allocation strategies by mapping the new order requirements and vendor performance Maintain allocation trackers and dashboards for internal reporting. Cost Optimization Initiatives Identify cost-saving opportunities through fabric/yarn sourcing alternatives or production efficiencies. Participate in discussions with vendors to negotiate initial costs and cost breakdowns. Prepare data reports and presentations for internal cost review meetings. Process improvement Support in identifying bottlenecks or inefficiencies in current costing and sourcing workflows. Propose and test process enhancements such as digitization of costing templates, automated trackers, or improved communication templates. Contribute to SOP creation for costing, order allocation, and vendor engagement workflows. Qualifications : Bachelor’s degree in Fashion Technology, Apparel Merchandising, Textile Engineering, or related fields. 2 – 3 years of experience in sourcing, costing, or production (internships included). Proficient in Microsoft Excel (VLOOKUP, Pivot Tables, conditional formatting, basic formulas); familiarity with Google Sheets or BI tools is a plus. Good understanding of garment construction, production processes, and textile terminology Comfortable working with large datasets and drawing actionable insights. Good communication and interpersonal skills with Strong analytical thinking and attention to detail Eagerness to learn, collaborate, and take initiative.

About INDmoney: INDmoney is a fast-growing super finance app revolutionizing the way users manage their investments and finances. As we scale our digital lending vertical, we seek dynamic professionals with a strong background in ML & data science to create, enhance and monitor our risk models and ensure robust underwriting decisions to scale business. Job Summary: We are looking for a Data Scientist, with a hybrid background in Data science, Credit Risk model development, Machine Learning and Data analysis. The ideal candidate will build intelligent, data-driven credit risk models with predictive modeling expertise using machine learning & AI. He will play a key role in refining credit strategies, reducing defaults, and driving healthy loan book growth. Key Responsibilities: Develop, validate, and implement credit risk models using credit bureau data, demographic indicators, transactional behavior, and alternative data sources. Leverage machine learning, Mathematical and statistical techniques to predict borrower behavior, default probability, and fraud risk. Design and refine scorecards and decision engines to automate and scale credit decisions. Monitor loan portfolio performance, identify risk trends, and recommend optimization strategies. Detect and mitigate fraud by spotting suspicious patterns using advanced analytics. Collaborate with Product, and Tech teams to ensure seamless integration of risk models into the lending journey. Stay updated on RBI digital lending guidelines and ensure regulatory compliance across risk models. Qualifications & Skills: Bachelor’s/Master’s degree in Finance, Economics, Data Science, Statistics, or a related field. 3–5 years in Data Science and Credit Risk Analysis. Must have: The candidate must have an experience in using data science for building lending credit risk models Hands-on experience building predictive models for credit risk using tools like Python, R, or similar. Machine Learning · Data Science · · Data Analytics · Python (Programming Language) · Data Visualization · SQL · Statistical Modeling Knowledge of credit bureau reports, financial statement analysis, and alternative credit scoring techniques. Experience with fraud detection models and risk-based pricing strategies is a plus. Strong problem-solving skills and a keen eye for data patterns and business impact.

💼 We’re Hiring: OCI AI Architect (Gen AI | Agentic AI | ML) 📍 Location: Remote 🕒 Experience Level: 10–15 Years (5+ years in AI/ML on OCI) 🧠 Domain Expertise: Finance & Accounting 📅 Start Date: Immediate Joiners Preferred 10–15 years in Oracle Cloud and Artificial Intelliegence, with 5+ years of proven experience in designing, architecting and deploying full stack AI/ML & Gen AI Solution over OCI AI stack 2. Strong Python programming development experience, streamlit, XML, JSON etc. 3. Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models. 4. Strong knowledge of AI governance, security, guardrails, and responsible AI. 5. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. 6. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus). 7. Proficient in implementing Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow) 8. Deep knowledge of OCI services including: OCI Data Science, OCI AI Services, OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring 9. Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows 3. Experience with front end languages such as React, Angular or Javascript etc. 4. Experience in Oracle ATP, 23ai Databases and vector queries 1. Working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios. 2. Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes. 3. Understanding of Oracle Cloud Deployment, architecture, networking, Security and other essential components 4. Good to have knowledge of Analytics and Data Science. Email: narmadha.vinayagamoorthy@vdartdigital.com

Job Title: GTM (Go-To-Market) Automation Engineer – US Client-Focused Location : Pune / Remote Reporting To : GTM Strategy Lead / Head of Revenue Operations Engagement : Full-time | Working with US-based clients Job Overview: We are looking for a GTM Automation Engineer to support go-to-market operations for our US clients , focusing on automation, planning, and execution across sales, marketing, and customer success functions. You’ll work directly with cross-functional US teams to streamline processes, accelerate execution, and ensure successful market rollouts through intelligent automation. Key Responsibilities Client-Centric Automation Understand client-specific GTM requirements and build custom automation workflows to support sales campaigns, lead nurturing, customer onboarding, and retention. Build and manage integrations between platforms like Salesforce, HubSpot, Marketo, Intercom, and other US client systems. Automate marketing and sales operations using low-code/no-code platforms (Zapier, Make.com, Workato) and/or scripting. GTM Planning Support Work closely with US-based sales, marketing, and product teams to define and deliver automation that supports launch plans and GTM milestones. Manage timelines and ensure that campaign triggers, alerts, and performance tracking are fully operational before launch. Tooling & Infrastructure Maintain and optimize client GTM tech stack integrations to ensure data consistency, real-time syncs, and effective handoffs across systems. Monitor automation health, troubleshoot issues, and continuously improve workflow efficiency. Insights & Reporting Build and maintain dashboards that help US stakeholders track pipeline velocity, funnel performance, lead lifecycle, and campaign effectiveness. Provide clear documentation and training to client-side teams on automation tools and process changes. Required Qualifications Bachelor’s degree in Computer Science, Information Systems, or related field. 2–4 years of experience in automation, GTM operations, or marketing/sales tech integration for international (preferably US) clients. Proficient with tools like Salesforce, HubSpot, Marketo, Segment, Intercom, Zapier, and APIs. Experience with scripting languages (Python, JavaScript) for automation and custom integration. Strong understanding of B2B sales funnels, lead scoring, and lifecycle automation. Nice to Have Prior experience working with SaaS or IT service clients in the United States. Familiarity with data privacy and compliance standards (GDPR, CCPA, HIPAA). Knowledge of AI/LLM workflows used in automation (e.g., using OpenAI APIs in GTM workflows). Working Hours & Communication Comfortable working in US time zones (EST/PST overlap) at least 4–5 hours per day. Strong English communication skills (verbal and written) for regular interaction with US client teams. Ability to independently handle task planning, updates, and status reporting with remote US teams. Key Attributes Strategic, proactive, and detail-oriented. Strong analytical mindset with the ability to turn requirements into automated workflows. Comfortable working independently and collaboratively with global teams. Focused on driving outcomes and client satisfaction through GTM process excellence.

At Total CollectR, we’re redefining the future of debt collection through intelligent automation, multi-channel communication, and an AI-powered virtual collector. Our mission is to help lenders, agencies, and healthcare providers recover revenue more efficiently and ethically—while delivering a better consumer experience. As we scale rapidly, we’re looking for a CRM Manager to own and optimize our HubSpot CRM environment, ensuring it drives alignment, visibility, and performance across our Sales, Marketing, and Customer Success teams. 🔹 What You’ll Do Own the CRM (HubSpot) system — structure, hygiene, segmentation, workflows, permissions, and reporting. Partner closely with Sales, Marketing, and Customer Success to map and optimize the full customer journey. Build and maintain workflows, automations, and pipelines that support outbound prospecting, demo scheduling, onboarding, renewals, and upsell campaigns. Create dashboards and custom reports to track KPIs across the funnel. Implement best practices for lead scoring, lifecycle stages, and deal management. Collaborate with leadership to streamline handoffs, reduce friction, and improve pipeline visibility. Serve as our internal HubSpot expert, trainer, and problem-solver. 🔹 What We’re Looking For 3+ years of CRM management experience, preferably in HubSpot (Salesforce acceptable with strong HubSpot transition experience). Strong understanding of sales and marketing funnels in a B2B SaaS environment. Comfortable building automation, custom properties, workflows, and dashboards in HubSpot. A systems thinker who thrives on improving process and reducing manual work. Excellent communication skills — you can translate business needs into CRM solutions. Self-starter who can take ownership and drive measurable results. 🔹 Bonus Points For Experience supporting SDR, AE, and CSM teams Familiarity with outbound tools (Apollo, ZoomInfo, LinkedIn Sales Navigator) Exposure to debt collection, lending, or FinTech environments HubSpot certifications

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description The Site Safety Officer will be responsible for partnering with a site operations team in a Fulfillment Center to execute company safety policies and ensure compliance to all applicable local and regional regulations. By leveraging lean principles and kaizens, this individual will lead continuous improvement initiatives to reduce conditional and ergonomic risk in our processes to ensure a safe and healthful working environment for our Associates. The Site Safety officer must demonstrate the ability to build trust and confidence with the Operations Team and influence change through providing comprehensive risk assessments and safety data analysis. The Site Safety officer must be an effective communicator and send clear, concise and consistent messages, both verbally and in writing. This individual must instruct and train Operations Leaders in company safety policies and assist the operations site teams in incorporating our safety standards at their site. The Site Safety officer will be required to identify best practices and incorporate these best practices into our standards to continuously improve company safety policies. The Site Safety officer will be required to possess excellent safety program and relevant safety, environmental and ergonomic knowledge and demonstrates this expertise when working with Operations. The Site Safety officer will be responsible to lead a safety team members: Safety Specialist, Safety Coordinators, Onsite first aid Associates. This individual must create and execute leadership development plans for their Safety Associates on their team. They must communicate safety team expectations and give frequent and appropriate feedback to their safety teams and ensure they are executing to the core competencies of an Amazon safety professional. Key job responsibilities Safety Officer Responsibilities Provide guidance and oversight to ensure compliance to all applicable Amazon Safety Policies. Measure sites' performance against published requirements in safety policies. For all deficiencies, identify a plan for the site to implement and fix all identified deficiencies. Deliver on-time and quality projects to Operations. Analyze safety metrics and review incident weekly and monthly incident trends to discover trends to justify the allocation of appropriate resources to areas where the safety risk is highest. Perform frequent site safety audits to identify all non-compliance equipment and/or processes at the site. Implement solutions to eliminate exposure to these risks and prevent injury at other FCs. Audit recordkeeping practices and Global Safety Database entries to ensure compliance to global safety standards and local regulations. Audit the workplace organization and Associate behaviours to ensure that training, auditing and scoring methods are accurate and consistent. Manage and mentor Safety Associates in your assigned FC. Spend time at the fulfilment centers and seek input from Safety teams, Associates and leaders on safety program improvement opportunities. Ensure open communication on status of progress and resolution against these suggestions. Ensure site leadership and Associates are trained and knowledgeable of their responsibilities under each policy. Audit the quality, delivery (including qualifications of the trainer), and effectiveness of all required safety training. Basic Qualifications 2+ years previous experience in Environment, Health & Safety or ME in Industrial Safety Engineering Bachelor's degree in engineering or a related field required. Experience in reputed private or government organizations Experience managing multiple direct reports. Must be flexible regarding shifts. Experience implementing lean principles and process improvement in an operational environment. Experience managing multiple direct reports. Preferred Qualifications Fulfillment Center or Manufacturing Safety experience with mix of exempt and non-exempt employees at a site of at least 200 people preferred. Master's degree preferred Experience in a fast paced, changing/growing organization Government Certified Safety Professional preferred Excellent written and verbal communication skills, including comfort interfacing with site leaders. Ability to develop and implement department goals and strategies. Strong analytical skills with demonstrated problem solving ability. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Overview Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection. The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship - a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds shared connections. In This Role, You Will Collaborate with product and marketing teams to execute programs, testing and optimization of core programs that fuel demand generation and retention Administer Marketo instance, partnering with marketing, revenue operations, finance and sales to align on process, establish documentation, and ensure operational efficiency that will enable Splash for global scale and maximum efficiency. Deliver effective change management and communications for technology implementation, data policy, and process re-engineering within marketing Drive standard cadence of operational meetings to share insights on marketing performance, maintain alignment, transparency, and accountability across a variety of key business priorities and stakeholders Continuously work to simplify systems and processes, avoiding customization bloat and over-engineered processes while creating and maintaining documentation Monitor and maintain data quality within the marketing database, ensuring accuracy and minimizing bad or incomplete data Partner with core marketing and sales team to refine and improve Demand Waterfall processes and metrics using data insights and feedback (e.g. lead scoring, service-level agreements, workflows, lead sourced/influenced ratios) Collaborate with the product, content, and demand generation teams to optimize systems and create processes that will help drive strategies and solutions for improving campaign performance Build and maintain standardized business dashboards, providing insights and focus across key revenue engine performance indicators related to programs, reach, conversion, velocity, value, and return on marketing activities and investments Outcomes Operationalize Marketo instance through leveraging templates and industry best practices Roll-out process and establish SLAs for how Marketing Ops partners and enables people and teams across the organization Deliver updated marketing performance dashboards, including funnel KPIs, and channel performance Increase MAP adoption and maturity through documentation, education, and training to marketing and sales teams Increase ability to track and measure program performance across all channels and sync Here's What You Need A self-starter - you have an entrepreneurial spirit and the ability to work independently Strong team player and a partner at heart - loves collaborating and avoids silo work behavior Proven ability to pick up new technical skills quickly Ability to problem solve, multi-task and meet deadlines Excellence in verbal and written communication You’re an advocate for research and best practices Fluent in the strategy, tactics, metrics, and best practices for marketing processes and technology Eagle eye for the details - both accuracy and quality A champion for data - you possess strong analytical skills and geek out on telling data-driven stories Ability to manage multiple projects at the same time in a fast-paced environment. Strong presentation skills and experience with G-Suite and analytics software (Tableau preferred). Technically capable, excellent communicator, and a desire to improve processes. 3+ years in B2B marketing Proven deep understanding of marketing technology, including acting as Marketo for 3+ years Experience working with a broader team to deploy and execute Marketo programs required. Experience with lead scoring and lead flow required Experience with attribution, lifecycle processing, and building nurture streams in Marketo Recent Marketo certifications strongly preferred Experience with Salesforce & Tableau preferred Demonstrated experience designing an innovative marketing technology stack Experience owning and developing marketing dashboards, taking action based on it, and explaining takeaways (including corrective action)

Overview: We’re looking for a leader within the Customer Success team at Cvent to manage, coach and lead a group of our Customer Success professionals who work with Cvent’s Event Management platform. This individual is responsible for managing the quality, productivity and day-to-day of our success advisors that work with customers to drive adoption, achieve desired outcomes, ensure success with the platform and identify opportunities for expansion and ultimately contract renewal. This position requires a dynamic professional who can liaise with other teams and departments in a professional manner, and can effectively communicate with team members, leadership and clients. Measuring key performance metrics, coaching team members, acting on client satisfaction and handing escalations are all requirements of this position. The ideal candidate must be an engaged leader with the ability to inspire others, drive change and embrace a continuous improvement culture. In This Role, You Will: Manage the quality, development, productivity and day-to-day of our Outreach Specialists that work with customers to drive adoption, achieve desired outcomes, ensure success with the platform, and identify opportunities for expansion and ultimately contract renewal Perform coaching sessions and deliver feedback on the quality of customer engagements Provide strategic guidance and support to reps on providing value-driven outreach and conversations with customers Conduct structured, bi-weekly 1:1s with team members to review client priorities, projects, performance objectives and goals Determine team member’s goals and assignments based on strong knowledge of individual’s strengths, opportunity areas and interests Coordinate and assign recourses to customer facing tasks Manage day-to-day operations of team through real time management Manage customer escalations, handling them through resolution Perform Root Cause Analysis (RCA) and call down customers based on their feedback Give input to performance reviews and performance improvement plans when necessary Provide input for monthly and quarterly business reviews for leadership Identify business improvements that align with company goals to drive the customer and employee experience Here's What You Need: A minimum of 5-7 years of overall work experience, with at least 1 of those in a leadership position. Relevant experience determines the job title of Team Lead or Assistant Manager. Previous experience in B2B customer success, account management or other client facing roles. Demonstrates strong leadership and people management skills. Enthusiastic and engaged leader with the ability to inspire others. Excellent interpersonal skills. Must be a strong communicator at all levels and be able to present in large meetings to key stakeholders. Contributes to a climate of innovation and continuous improvement to achieve Cvent’s goals. Demonstrates ability to manage quality and productivity on a high performing team through variation management. Demonstrates personal excellence, accountability and integrity. Ability to track key performance metrics and implement solutions to meet client needs. Microsoft Office software proficiency, with strong Excel, Word and PowerPoint skills. Technical aptitude with strong ability to learn software and upskill. Previous experience in SaaS and event industry experience is a plus. Knowledge of CRM automation products such as Salesforce and Gainsight. Exposure to operational frameworks that focus on data-driven measurement, client satisfaction scoring of service delivery is a plus.