5453 Data Science Jobs - Page 14

At Kenvue, we understand the profound impact of everyday care. With a rich heritage spanning over a century and a foundation in science, we are the proud home of renowned brands such as NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSONS, and BAND-AID that are already part of your daily life. Our dedication to science fuels our endeavors, while our caring nature defines our abilities. Comprising a global team of 22,000 diverse and talented individuals, we are dedicated to innovation, insights, and delivering exceptional products to our valued customers. As a Kenvuer, you possess the power to positively influence the lives of millions every day. Placing people at the forefront, we embody a culture of care, trust, scientific integrity, and problem-solving courage. Exciting opportunities are on the horizon, waiting for you to be a part of shaping not just our future, but yours as well. In the role of a Manager, Data Products at Kenvue, you will play a pivotal role in spearheading the development and implementation of data-driven products leveraging digital, artificial intelligence, and analytics technologies. Working in close collaboration with multifunctional teams comprising data scientists, software engineers, product managers, and business stakeholders, you will be tasked with defining the vision, strategy, and execution of these innovative products. Your responsibilities will include collaborating with stakeholders to establish the vision, goals, and roadmap for digital, data, and AI products that align with overarching business objectives. By engaging with various business units, you will decipher their requirements and translate them into actionable product specifications. Overseeing data collection, storage, and preprocessing processes will be essential to ensure data quality and availability for training and model deployment. You will work hand in hand with data scientists and machine learning engineers to conceptualize, develop, and deploy machine learning models that drive the AI data products. In addition, you will lead the entire product development lifecycle, encompassing design, development, testing, and deployment phases of AI data products. Collaboration with user experience (UX) designers is crucial to ensure the creation of intuitive and user-friendly interfaces for these products. Monitoring performance metrics and establishing tracking mechanisms will allow you to gauge the impact of AI data products effectively. Continuous iteration and enhancement of data products based on user feedback and performance insights will be a key focus area. Market analysis and competitive research will enable you to identify opportunities and remain abreast of industry trends. Furthermore, you will be responsible for risk management by identifying potential risks associated with data and AI products and devising mitigation strategies. The core responsibilities of this role include defining the data product vision and roadmap, ensuring alignment with business needs for impactful monetization, managing the data product development lifecycle, gathering requirements from stakeholders, designing the technical architecture of data products, ensuring data product quality, overseeing the launch and monitoring of data products, providing user training on data products, marketing data products to potential users, collaborating with the data science team to develop new data product features, managing the data product's budget, and implementing the data product marketplace to enhance user adoption and experience. The ideal candidate for this role would possess a minimum of 8 years of relevant experience with a Bachelor's degree, or a Master's degree, or a PhD along with 5 years of experience in areas such as Technology, Computer/Software Engineering, Data Science, Applied Mathematics, or Statistics. Additionally, 3+ years of experience in the CPG/Retail industry with a sound understanding of business and data domains related to Customer, Product, Consumer, and Finance is preferred. Proven experience in product management or product ownership, particularly in the realm of data-driven products like data platforms and AI technologies, is highly desirable. Familiarity with machine learning concepts, algorithms, and model deployment is advantageous. Strong project management skills, stakeholder management capabilities, and the ability to lead cross-functional teams are essential qualities. Proficiency in data analysis, visualization, and data-driven decision-making is crucial. Effective communication and presentation skills to convey intricate technical concepts to non-technical stakeholders are required. An understanding of data privacy and security considerations in AI product development is important. Experience with Agile development methodologies is beneficial. Proficiency in Data Governance, Metadata Management, Data Catalog, Business Glossary, Python, and SQL is preferred. Candidates from the Retail or CPG industry would be given preference. This position is based in Bangalore, India, within the Asia Pacific region, and falls under the Architecture job function at Kenvue. Desired qualifications for this role include expertise in various areas related to data product management. Join us at Kenvue and be a part of our journey towards creating impactful and innovative data products that shape the future while enhancing your own professional growth.,

As a seasoned data leader, you will play a pivotal role in influencing, initiating, and inspiring data-driven decisions across all value streams and KPIs. Your primary responsibilities will include utilizing data to uncover insightful issues and opportunities, collaborating with function heads to address challenges and leverage prospects, and guiding strategic decisions on organizational priorities. Furthermore, you will lead the application of data analytics and applied data science for various business problems such as churn prevention, margin optimization, marketing spends optimization, LTV estimation, demand forecast, prescription interpretation, and discount discrimination. With a minimum of 8 years of experience in data analytics, business intelligence, and data science, including 3 years in a managerial capacity, you will bring a top-tier business acumen and outcome orientation to the forefront. This leadership role requires continuous identification of opportunities and delivering on them by engaging with stakeholders and executives in a visible manner. Your demonstrated track record of applying deep technical expertise to diagnose and solve business problems effectively will be crucial in this role, emphasizing strategizing, application, and execution over cutting-edge research. In this role, it would be advantageous to have at least 2 years of experience in ecommerce, including exposure to the pharmacy space. Hands-on experience with the modern data stack, such as MCPs and Vector DBs, as well as informed opinions on designing scalable and future-proof data infrastructure in early-stage startups, will be considered beneficial. Throughout the selection process, we will evaluate candidates based on their data leadership skills, technical proficiency in tools like Tableau, SQL, and Python, and deep relevant knowledge in the practical application of data science and machine learning solutions for the retail and ecommerce sector. While this is a leadership position, we value individuals who can maintain a close connection to the technical aspects of the work. As part of our team, you will have the opportunity to take on a high-visibility role in a flat organization, working directly with founders and seasoned leaders. Competitive compensation packages including ESOPs, a challenging yet rewarding problem space focused on affordable generic medicines, and a supportive and outcome-driven work environment are some of the benefits we offer. Join us on a journey to make a meaningful impact on the lives of millions of individuals by leveraging data and technology to drive positive change.,

Job description: "We seek a dynamic IT Presales Specialist with Cloud, Analytics, and AI expertise to join our team. As a part of our sales team, you will be responsible for engaging with clients, understanding their business needs, and crafting innovative solutions leveraging Cloud, Analytics, and AI technologies. Your primary goal will be to drive revenue growth by effectively articulating the value proposition of our offerings and guiding clients through the sales process" Job Description: Engage with the clients to understand their business challenges, needs, and Objectives. Design tailored solutions that address their specific Services requirements. Creating compelling proposals in response to RFPs that effectively communicate the value proposition of our offerings. Work with the sales team to generate and qualify leads. Conduct presentations and demonstrations to showcase the capabilities of our Cloud, Analytics, and AI solutions. Stay updated on the latest trends and developments in Cloud, Big Data, Analytics, and AI. Build and maintain strong relationships with key stakeholders Analyze customer feedback and market data to identify enhancements or new offering opportunities. Could you collaborate with our internal technical teams to make sure that the proposed solutions align with best practices and industry standards? Share insights and recommendations with internal teams to drive continuous improvement. Requirements Storng Technical Skills Needed Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred. Proven experience in IT presales, consulting, or a technical sales role, with a focus on cloud and data analytics solutions. Strong understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and Analytics & Machine Learning Excellent communication and presentation skills, with the ability to effectively convey complex technical concepts to non-technical audiences. Demonstrated ability to collaborate across teams and work in a fast-paced, dynamic environment. Strong analytical and problem-solving skills, with a keen attention to detail. Relevant certifications (e.g., Microsoft Azure, Google Professional Data Engineer) preferred.

Role & responsibilities Implement Credit policy logic in Credit/Business rule engine and monitoring Develop logic and conduct testing of implemented logic Responsible for implementing credit policy in coordination with risk ,IT , product and Business Support in implementation of projects and product development to mitigate credit risk in the organization Prepare/Analyse/maintain credit risk models (scenario testing) in line with requirements of organization. Prepare risk reports on a regular basis. Identifying and analysing potential credit risk areas based on the data provided and recommending action plans Preferred candidate profile 1-4 years experience (preferably in MFI/FI/Bank/working in Credit risk domain) Engineering/ MBA(Finance) Proficient in MS-Office (Excel, PowerPoint and Word) Strong analytical skills. Knowledge of analytical tool (preferably R/Python/SAS)- python must Strong English verbal and writing skills understanding of MFI/FI/Bank business environment is plus Regards, Sandipa 7980475998

What Youll Need BS or MS degree in Computer Science, Engineering, or a related technical field Strong SQL skills 6+ years of experience working with event instrumentation, data pipelines, and data warehouses, preferably acting as a data architect in a previous role Proficiency with systems design and data modeling Fluency with workflow management tools, like Airflow or dbt Experience with modern data warehouses, like Snowflake or BigQuery Expertise breaking down complex problems, documenting solutions, and sequencing work to make iterative improvements Familiarity with data visualization tools such as Mode, Tableau, and Looker Familiarity with programming skills, preferably in Python Familiarity with software design principles, including test-driven development About the Role Analytics Platform is on a mission to democratize learning by building systems that enable company-wide analytics and experimentation. By implementing sufficient instrumentation, designing intuitive data models, and building batch/streaming pipelines, we will allow for deep and scalable investigation and optimization of the business. By developing self-serve tools, we will empower executives, PMs, Marketing leadership & marketing managers to understand company performance at a glance and uncover insights to support decision making. Finally, by building capabilities such as forecasting, alerting, and experimentation, we will enable more, better, and faster decisions. What Youll Do Drive direct business impact with executive-level visibility Design technical architecture and implement components from the ground up as we transition to event-based analytics Work on the unique challenge of joining a variety of online and offline data sets, not just big data Learn and grow Data Science and Data Analytics skills (we sit in the same org!) Opportunity to grow into a Tech Lead/Manager, and mentor junior team members as we quickly grow the team Partner with infrastructure and product engineers to instrument our backend services and end-to-end user journeys to create visibility for the rest of the business Design, develop and monitor scalable and cost-efficient data pipelines and build out new integrations with third-party tools Work with data analysts and data scientists to design our data models as inputs to metrics and machine learning models Establish the best practices for data engineering Assess build vs buy tradeoffs for components in our company-wide analytics platform, which will inform decision-making for executives, PMs and Ops, etc. Opportunity to be founding member of the Data Engineer team based out of IN. Will have the autonomy to help shape the vision, influence roadmap and establish best practices for the team

Description: Position Overview: As a Data Scientist, he will be responsible for translating management and business requirements into advanced analytics solutions. He will play a crucial role in the development of data pipelines, business intelligence tools, and the delivery of meaningful insights through trend analysis and business analytics. Responsibilities: 1. Data Analysis and Modeling: • Collaborate with cross-functional teams to understand management and business requirements. • Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to derive actionable insights. 2. Data Pipeline Development: • Design and build efficient data pipelines to support the collection, processing, and analysis of large datasets. • Ensure the availability, reliability, and scalability of data pipelines to meet business needs. 3. Business Intelligence (BI) Tool Development: • Work closely with IT teams to develop and maintain BI tools that provide intuitive access to data for business users. • Create dashboards and reports that visualize key performance indicators and support data-driven decision-making. 4. Trend Analysis and Reporting: • Conduct trend analysis to identify patterns, correlations, and anomalies in large datasets. • Generate and present regular reports on business analytics, highlighting key insights and recommendations. 5. Collaboration and Communication: • Collaborate with stakeholders to understand their analytical needs and translate them into actionable plans. • Communicate complex analytical findings to non-technical stakeholders in a clear and concise manner. Qualifications: Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related field. • Proven experience as a Data Scientist with a focus on business analytics and trend analysis. • Strong programming skills in languages such as Python or R. • Experience with data visualization tools (e.g., Zoho Analytics, Tableau, Power BI). • Knowledge of statistical modeling, machine learning, and data mining techniques. • Excellent problem-solving and critical-thinking skills.

Lead Engineer- NLP: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What were Looking for At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement. About 8-12 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level. Demonstrated ability in developing NLP / ML / DL / generative AI project solutions. Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

We are looking for a highly skilled Machine Learning Engineer with expertise in Generative AI to join our team at Kapture CRM. The ideal candidate will have 2-7 years of experience and a strong background in software product development. Roles and Responsibility Design and develop machine learning models using various algorithms and techniques. Collaborate with cross-functional teams to integrate machine learning solutions into existing products. Develop and maintain large-scale data pipelines and architectures. Conduct research and experimentation to improve model performance and efficiency. Work closely with data engineers to ensure seamless data integration. Implement automated testing and deployment scripts. Job Requirements Strong understanding of machine learning fundamentals, including supervised and unsupervised learning. Experience with deep learning frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills.

3-8+ years of experience in Data Science preferably with financial services clients,Python, R, Scala,pyspark,Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting,.

3-8+ years of experience in Data Science preferably with financial services clients,Python, R, Scala,pyspark,Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting,.

About Us The Apeejay Stya University is a seat of global learning that offers rich opportunities for innovative teaching-learning, creativity and research across disciplines. It aims to bring about transformation of the society through value-based education, man-making and nation-building by blending together the dual identities of a technology and research-based university with a liberal arts institution. Established by the Apeejay Stya Education Foundation in the state of Haryana [under Act No. 10 of the Haryana Private Universities (Amendment) Act 2010], the ASU provides students not only 'education for living and livelihood' but also 'education for life' and empower learners with a fundamental foundation in leadership and professional skills to face the challenges of the new liberalized global economy. Job Responsibilities : Leading the school in coordination with HOD and ensuring objectives of the school and university are met. Carry a load of courses in various topics pertaining to School of Engineering & Technology Evaluating existing courses, its relevance and suggesting improvements within guidelines. Develop and implement student learning outcomes and assessment activities at the program and course levels. Based on industry requirements conceive, design, develop and implement new courses ensuring all regulatory requirements. Manage enrollment to maximize use of faculty loads and space resources, especially general purpose classrooms and labs. Encourage and enhance research within the school. Encourage team to focus and guide research students and/or projects. Sharing and adopting best practice from other schools. Evaluate assessment criteria and suggest changes as and when required. Lead regulatory audits and other investigations as and when required. Responsible for upholding culture through communication, positive approach and inculcating and maintaining strong ethical standards. Actively participate in admission process from inception to execution in conjunction with the relevant stake holders. Advise students in the major, mentoring students who are completing their final projects and providing career guidance to those determining their major or specialization. Stay up to date on advancements in the field and new research being produced in your area of expertise. Serve on department committees as assigned by the Dean / Vice Chancellor and help ensure all committee goals are met in a timely manner. Candidate should have done good amount of Research and publications in leading journals in the field of Computer Science / IT. Expertise in Radio Frequency, Antenna Design, Microwave imaging and Internet of things. Should be well acquainted with the various Accreditation Agencies and Statutory Bodies and the procedures and updated with latest trends of the field. Education: Ph.D. Degree in Computer Science Engineering (CSE) / Information Technology (IT) (Mandatory) B.Tech & M.Tech degree in Computer Science Engineering (CSE) / Information Technology (IT) with First Class or with equivalent Grade or CGP. Experience: Minimum 10 years of industry and teaching experience. Salary is not a constrain for the right candidate.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

Job Title: Senior Machine Learning Engineer We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at . Role Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative Data Science and Engineering team. Reporting to the Data Science Director, you will play a critical role in building and scaling machine learning systems that power our cybersecurity products. You will work closely with data scientists and software engineers to design, develop, and deploy end-to-end ML pipelines, ensuring high performance and reliability in production. Your engineering expertise will directly contribute to solving complex challenges in areas such as threat detection, malware analysis, anomaly detection, and automated model workflows. About the role: As a Senior Machine Learning Engineer, you will be part of a high-impact team reporting to the Director of Data Science, focused on developing scalable, production-grade machine learning solutions to power cybersecurity products. Collaborate with data scientists and engineering teams to build and scale machine learning pipelines. Develop and deploy production-ready ML systems for use cases such as:Threat and attack detection,Threat hunting,Malware detection,Anomaly detection Build and optimize distributed data pipelines using Apache Spark and Python. Design and implement MLOps workflows including data preprocessing, model training, evaluation, and deployment. Monitor and retrain ML models based on feedback and performance in production. Develop model serving infrastructure for high availability, low latency, and scalability. Automate and streamline feature engineering, hyperparameter tuning, and CI/CD pipelines for ML models. Ensure model integration into security products with adherence to compliance and data governance standards. About you: You are an experienced ML Engineer with a strong foundation in software engineering and a passion for solving complex problems in the cybersecurity domain. Must-Have Qualifications: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, with Mathematics/Statistics at undergraduate level 4-6 years of industry experience as a Machine Learning Engineer Advanced proficiency in Python and strong programming fundamentals Hands-on experience with Apache Spark or PySpark for distributed data processing Solid understanding of machine learning concepts and experience with ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Experience in building, deploying, and monitoring end-to-end ML systems in production Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker Pipelines). Proficiency in SQL and handling large-scale data Experience working with public cloud platforms (AWS, GCP, or Azure). Strong software engineering practices: Git, containerisation (Docker), testing, CI/CD Good to Have: Knowledge of Large Language Models (LLMs) such as GPT, BERT, LLaMA, or Falcon. Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

Job Responsibilities: • Lead from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization • Architect a full ML Platform and build out the infrastructure to support scalability • Manage and mentor the team to ensure high-quality project delivery. • Plan and oversee AI projects, including data collection, model development, and deployment. • Evaluate AI model performance and optimize as needed for accuracy and efficiency. • Collaborate with stakeholders to understand business requirements and translate them into AI solutions. • Ensure compliance with data privacy and ethical AI practices. • Provide collaborative leadership to build out the AI function, MLEs, MLOps and Data Engineering • Define best AI/ML driven practices and AI lifecycle • Coach and mentor our team as we build scalable data and machine learning solutions • Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies • Inform and deliver on ambitious product roadmaps to accelerate growth

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.