5437 Data Science Jobs - Page 3

You will be joining Quantic Tech Analysis Private Limited in Chennai as a full-time Junior Computer Vision Engineer. Your primary responsibility will be to work on pattern recognition, computer science, data science, and computer vision tasks to assist in the creation of cutting-edge solutions. You should have strong Python programming skills and a background in pattern recognition and computer vision. Ideally, you should possess expertise in robotics, computer science, and data science. A solid foundation in computer vision algorithms and applications is required for this role. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred. Additionally, experience with AI and machine learning technologies is beneficial. The ability to collaborate effectively within a team environment is essential for success in this role.,

As a Computer Science (BCA/MCA) Department Faculty, your primary responsibility will be to prepare curriculum and instruction for the department. You will need to plan and execute various department events and activities while mentoring students in their academic achievements and prospects. Your role will involve delivering Classroom Lectures and Lab Sessions on core Computer Science subjects such as Programming (Android/Java/Python/Unix), DBMS, OS, and Networks. Additionally, you will be arranging guest lectures and workshops to enhance the learning experience for students. It will be your duty to formulate a well-balanced academic program that fosters research and meets the industry's requirements. You are expected to promote scholarly excellence that leads to practical products and services for the marketplace and society. Adopting the best practices from leading universities and corporations worldwide will also be part of your responsibilities. Your leadership will play a crucial role in earning recognition for the department through participation in conferences, events, and competitions. Furthermore, you will establish a robust internship and placement program within the department to enhance students" career prospects. Other responsibilities include financial planning, resource allocation, performance evaluations, and fostering a vibrant work culture within the department. Qualifications & Experience: - Bachelor or Master's degree in Computer Science, Engineering, or a related field. - Proven software development experience in programming languages like Android, Java, Python, Unix, DBMS, OS, and Networks. - Working experience in advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Cybersecurity, Data Science, and Cloud Computing will be advantageous. - A doctoral qualification or equivalent expertise in the relevant discipline is a plus. - A minimum of 2-10 years of teaching experience in a reputable institution with a proven track record is required for this position.,

The Computer Science and Engineering Expert position at KPR Institute of Engineering and Technology is an exciting opportunity to become a part of our esteemed team of educators. Located in Coimbatore, India, KPRIET is a globally connected engineering institute that emphasizes industry-informed teaching and innovative research. We are dedicated to enhancing the skills and knowledge of our students to meet the evolving global needs and nurture professionals who can adapt to change. Our graduates are equipped to be global citizens who can positively impact society. We are currently looking for candidates for the following designations: - Professor - Associate Professor - Assistant Professor Specializations in the following areas are highly sought after: - Artificial Intelligence - Machine Learning - Data Science - Cybersecurity - Blockchain To be considered for this position, applicants must meet the following requirements: - Possess a M.E./M.Tech or Ph.D. degree; candidates with MCA or M.Sc qualifications are not recommended to apply. - Demonstrate an outstanding track record in academics or industry, along with publications in reputable journals. - Candidates with proficiency in multiple languages and those hailing from Jammu & Kashmir, Punjab, Himachal Pradesh, and the North Eastern states of India are given preference. - Qualifications and experience should align with AICTE norms. The salary for this position will be commensurate with the candidate's qualifications and experience. Join us at KPR Institute of Engineering and Technology and be a part of our mission to develop skilled professionals who can meet global demands and contribute positively to society.,

You will be joining Creanovation Technologies Pvt. Ltd as an Assistant Professor/ Technical Trainer in the Department of Computer Science based in Hisar, Haryana. The company is a pioneer in the Higher Education Student Admission domain with a strong presence across multiple locations in India. Your role will involve conducting expert technical lectures and hands-on sessions at NextGen campuses, supporting in syllabus design and content development, managing the Learning Management System (LMS) content, collaborating on intervention planning and outcome improvement, participating in faculty training sessions, and staying updated with new-age technologies. To qualify for this position, you should hold a B.Tech/M.Tech in Computer Science and Engineering with 2-5 years of experience in academics/training, possessing strong hands-on skills. Immediate joining is required. You will need to demonstrate a strong command over at least two of the following areas: AI/ML, Data Science, Cloud Computing, Cybersecurity, LLMs, or Full Stack Development. Proficiency in tools like Python, Git, Linux, Jupyter, AWS/GCP, and version-controlled content is essential. Excellent communication, presentation skills, and prior experience with LMS platforms will be advantageous. Passion for teaching and mentoring students in next-gen technologies is a key attribute. This is a full-time position with a day shift schedule. You must be willing to commute/relocate to Hisar, Haryana before starting work. The company requires you to have 2 years of experience in training & development, fluency in English, and a willingness to travel up to 50% of the time. If you meet these qualifications and are enthusiastic about contributing to the education sector, we encourage you to apply for this rewarding opportunity at Creanovation Technologies Pvt. Ltd.,

As an Assistant Professor in Computer Science and Engineering (CSE), you will be responsible for providing guidance, mentorship, and leadership to students pursuing their education in the field of computer science. Your primary focus will be on fostering a conducive learning environment that encourages innovation and academic excellence. To qualify for this role, you must hold a Bachelor's degree in CSE/IT/AI (B.Tech/B.E.), a Master's degree in CSE/IT/Software Systems or any other computer science field (M.Tech/M.E./M.S.), and a Ph.D. in any Computer Science field. Specialization in areas such as Artificial Intelligence & Machine Learning, Internet of Things, Data Science, Cloud computing, Block Chain, AR/VR, Cyber Security, Algorithms, Information Systems, Full Stack Development, Java, OOPS Programming, or Robotics is highly desirable. Your responsibilities will include developing and implementing innovative instructional methods, enhancing student performance through professional logistics, guiding students in research projects, monitoring academic progress, and implementing career-enhancement programs. Additionally, you will actively participate in departmental and college activities, serve on committees, and promote industry-institution interaction. Applicants for this position should have a strong academic background with research papers published in international/national journals. Experience in teaching, industry, and research with reputed institutions as per AICTE/UGC norms is required. Holding a Doctorate and having experience in research development activities and research guidance will be considered advantageous. This is a full-time, permanent position that requires in-person work at the designated location.,

As a Responsible AI Specialist/ Sr. Analyst at Accenture Strategy & Consulting Global Network, specifically within the Responsible AI COE, you will be at the forefront of the AI revolution, contributing to the development of systems that not only enhance various aspects of life but also raise questions about fairness, interpretability, privacy, and security. The Data and AI landscape is rapidly evolving, and at Accenture, you will have the opportunity to be part of this transformational journey. With a global presence spanning across industries and countries, Accenture offers a platform to work on cutting-edge projects that impact millions of lives while ensuring responsible and inclusive AI technology deployment. Collaborating with a diverse and skilled team within the S&C Global Network, Data & AI division, you will engage in a range of activities from strategy formulation to AI engineering, driving end-to-end business change by leveraging data and AI capabilities. Your role will be pivotal in bringing the Responsible AI vision to life, enabling clients to operate ethically and inclusively with the use of AI technology. By leveraging your consulting background in data science/analytics and a passion for understanding the societal impact of AI systems, you will play a significant part in conducting assessments related to fairness, bias, explainability, model validation, and robustness. Joining the Responsible AI COE at Accenture means being part of a team committed to developing AI products and solutions with a focus on responsibility and trustworthiness. You will work closely with clients, academia, and industry experts to shape innovative approaches to Responsible AI, aligning with Accenture's strategic priorities in this space. Your responsibilities will include consulting with clients on designing user-centered AI systems, contributing to research on Responsible AI, developing best practices and frameworks for scalable implementation, and fostering thought leadership through publications and public engagements. Embark on a rewarding journey with Accenture as a Responsible AI Specialist/ Sr. Analyst, where each day presents new challenges and opportunities to make a meaningful impact on the Responsible AI landscape.,

As a Product Manager - App at Luna, you will be responsible for leading the health-tech experience and contributing to the development of LifeOS. Your primary focus will involve collaborating with design, engineering, CX, and the beta community to enhance features that are not only elegant and evidence-based but also encourage habit-forming behaviors. Your key responsibilities will include owning and advancing the Luna App roadmap, which encompasses onboarding, dashboard design, insights, and user journeys. Additionally, you will lead the product discovery and delivery of impactful features such as Energy OS, Circadian Rhythm, Sleep Recovery, and an AI-based health layer. It is essential to have a strong grasp of building algorithms and translating complex physiological and behavioral science into user-friendly app flows. Furthermore, you will be expected to utilize data from platforms like Amplitude, Firebase, and Mixpanel to analyze user behavior, drive enhancements in app retention, feature adoption, and session engagement. Your role will also involve engaging with beta groups and digital communities to gather feedback and ensure continuous improvement. To qualify for this position, you must have a minimum of 4-8 years of product management experience, with at least 2 years of experience leading a consumer mobile app. A degree in Data Science, ML, or Statistics from a Tier 1 college is required. Additionally, a personal interest in areas such as quantified self, training, mindfulness, sleep science, or longevity is highly preferred. Experience in deep healthtech, wellness, wearables, or fitness, along with exposure to AI productization and health APIs, will be advantageous. The successful candidate will possess a deep understanding of data and algorithms, with a proven track record of improving app retention, adoption, or ratings through strategic product enhancements. Proficiency in mobile UX, behavioral design, habit loop creation, and data tools like Amplitude and Firebase is essential. You should also demonstrate clarity of thought, independence in decision-making, and the ability to collaborate effectively with cross-functional teams. In return, you will have the opportunity to be at the forefront of wearable intelligence, make a significant impact on a rapidly growing global product, and contribute to building the world's most advanced LifeOS. Competitive compensation along with ESOPs are part of the package for this role.,

As a Data Scientist specializing in Affiliate Marketing, you will be responsible for utilizing your expertise in data analysis and statistical modeling to drive successful affiliate marketing strategies. Your role involves leveraging data to optimize campaign performance, identify trends, and make data-driven decisions to maximize affiliate revenue. Key responsibilities include developing predictive models, conducting in-depth analysis of affiliate marketing data, and creating reports to provide insights to the marketing team. You will work closely with stakeholders to understand business goals and translate them into actionable data strategies. Moreover, you will collaborate with cross-functional teams to implement and test new ideas to enhance affiliate marketing efforts. The ideal candidate should possess a deep understanding of data science techniques, such as machine learning, data mining, and statistical modeling. Proficiency in programming languages like Python or R is essential for this role. Strong analytical skills, attention to detail, and the ability to communicate complex findings in a clear manner are also crucial for success in this position. If you are passionate about data science and affiliate marketing and enjoy working in a dynamic environment where your insights can directly impact business outcomes, we invite you to apply for this exciting opportunity. Join our team and play a key role in driving the success of our affiliate marketing initiatives.,

As the Director of Delivery, you will play a crucial role in leading and expanding Elucidatas" delivery function focused on complex, high-impact data and AI/ML projects within the pharma and biotech industries. Your primary responsibility will be to ensure the timely and high-quality execution of customer engagements and internal programs, while also establishing the operational capabilities necessary to support growth and scalability. Bringing deep expertise in life sciences or healthcare, you should possess a solid understanding of the end-to-end data lifecycle in pharma/biotech R&D. Your proven track record in leading multidisciplinary delivery teams and operations will be essential in driving success in this role. Your key responsibilities will include strategic delivery leadership, where you will oversee the entire delivery process for customer programs to ensure alignment with objectives, timelines, and quality standards. You will establish project governance structures, cadence, and execution mechanisms while also serving as the escalation point for any delivery-related risks, delays, or resourcing issues. Furthermore, you will actively engage with stakeholders from Solutions, Product, and Commercial teams to align delivery with strategic account plans. Building and leading a high-performing team comprising Data Engineers, Data Scientists, and Project Leads will be a crucial aspect of your role. By implementing delivery best practices, KPIs, dashboards, and quality control frameworks, you will ensure the consistent and effective execution of projects. Additionally, you will collaborate cross-functionally with Product & Engineering teams to provide feedback for the product roadmap. Working closely with Revenue Ops and Finance, you will manage resourcing plans, utilization, and profitability of delivery programs. The ideal candidate should have at least 10 years of experience in delivery, operations, or program management within the pharma, biotech, or healthcare sectors. Demonstrated leadership experience in domains such as bioinformatics, data engineering, and analytics is essential, along with a deep understanding of biomedical data. Strong stakeholder management skills and the ability to manage complex programs under tight timelines are also key qualifications. Preferred qualifications include a Masters degree or PhD in a relevant technical field, prior experience in pharma/biotech R&D or healthcare data vendors, familiarity with AI/ML applications in life sciences, and experience in scaling delivery functions in a SaaS or tech-enabled services business. Join us in this exciting opportunity to be part of a growing startup that is revolutionizing how biomedical data is leveraged to drive innovation in the industry.,

The ideal candidate for the position of AL/ML Architect should possess a B.SC, B.E/B.Tech./M.E./M.S./M.Tech degree with a strong academic record. With at least 10 years of overall experience, including 4-5 years in an Architect role, the candidate should also have 4+ years of hands-on experience applying statistical/ML algorithms and techniques to real-world data sets. Additionally, 4+ years of experience as a developer working on scalable and secure applications is required, along with 2+ years of experience independently designing core product modules or complex components. Proficiency in GenAI is a must-have for this role. Key Responsibilities: The responsibilities of this role include designing and overseeing the architecture of ML systems, encompassing data pipelines, model selection, deployment strategies, and ensuring scalability and performance. The candidate should have a strong understanding of AI algorithms, data engineering, and software architecture. Collaboration with cross-functional teams to translate business needs into effective ML solutions is essential. Defining the architecture of ML systems, from data ingestion to deployment pipelines, and selecting appropriate ML algorithms based on data characteristics and business objectives are crucial aspects of the role. Designing and implementing data pipelines for data collection, cleaning, transformation, and feature engineering is also a key responsibility. Ensuring that ML systems can handle large volumes of data and deliver efficient predictions is vital. The candidate should have in-depth knowledge of multiple technological and architectural areas, applicable processes, methodologies, standards, products, and frameworks. Defining and documenting architecture, capturing non-functional requirements, preparing estimates, and defining technical solutions to proposals are part of the role. Providing technical leadership, mentoring a team of developers, and collaborating with multiple teams to make technical decisions are essential aspects. Practices such as reuse, defect prevention, process optimization, automation, and productivity enhancement should be adopted. Skills: The candidate should have expert knowledge of languages such as Python, proficiency in Probability, Statistics, and Linear Algebra, and proficiency in Machine Learning, Deep Learning, NLP (GenAI is an added advantage). Familiarity with data science platforms, tools, and frameworks is required. Designing scalable processes for collecting, manipulating, presenting, and analyzing large datasets in a production-ready environment is essential. Experience with large volumes of data, algorithms, and prototyping is necessary. Knowledge of Nifi, Kakfa, HDFS, Big Data, MongoDB, Cassandra, and CI/CD pipelines with tools like GIT, Jenkins, Maven, Ansible, Docker is preferred. Expertise or appreciation in Security products such as End-point detection, protection and response, Managed detection and response is also desirable for this role.,

You will be responsible for applying advanced statistical models and analytics to solve dynamic business problems and support data-driven decision-making. Your role will involve designing custom analyses using tools like R, Tableau, SAS, and Excel, and effectively communicating insights to clients and internal teams. Building strong client relationships, managing project deliverables, providing updates, and implementing solutions will be key aspects of your job. Additionally, you will be expected to mentor junior team members and contribute to enhancing the Company's analytical capabilities. To qualify for this position, you must have a Bachelor's or master's degree in any discipline with a strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics, or engineering. You should have 2-4 years of relevant post-collegiate job experience, although a PhD may substitute in lieu of work experience.,

You are required to join our team as an IT Recruiter where your proactive and detail-oriented approach will be highly valued. Your strong understanding of the IT landscape and proven experience in sourcing and hiring tech talent will be crucial for success in this role. Building lasting relationships with both candidates and hiring managers will be a key aspect of your responsibilities. You will be responsible for managing the full recruitment cycle for IT roles, from sourcing potential candidates to onboarding successful hires. Your key responsibilities will include talent sourcing and acquisition, candidate screening and evaluation, collaboration with hiring managers, recruitment process management, and employer branding. To excel in this role, you must possess a Bachelor's degree in Human Resources, Business Administration, or a related field, along with at least 3 years of experience as an IT recruiter. Proven experience in either in-house or agency recruitment is essential, along with familiarity with technical roles and skills such as software development, data science, cloud computing, and cybersecurity. Proficiency in using Applicant Tracking Systems (ATS), job boards, and recruitment tools is required. Excellent interpersonal and communication skills, strong organizational abilities, attention to detail, and the capacity to manage multiple recruitment processes simultaneously and meet tight deadlines are also necessary qualities. Joining our team offers you the opportunity to work with a dynamic and growing team. We provide a competitive salary and benefits package, access to professional development and training programs, and the chance to make a meaningful impact by contributing to the development of a world-class IT team. For further information or to express your interest, please contact us at 9047477375 or via email at recruiter@wonderws.com.,

At PwC, our team in audit and assurance focuses on providing independent and objective assessments of financial statements, internal controls, and other assurable information to enhance credibility and reliability for stakeholders. We evaluate compliance with regulations, assess governance and risk management processes, and related controls. As part of the data, analytics, and technology solutions team, you will assist clients in developing solutions that build trust, drive improvement, and detect, monitor, and predict risks. Your work will involve utilizing advanced analytics, data wrangling technology, and automation tools to leverage data and establish the right processes for clients to make efficient decisions based on accurate and trustworthy information. You are expected to be driven by curiosity and be a reliable team member in a fast-paced environment. Working with various clients and team members will present different challenges and scope, providing opportunities for learning and growth. Taking ownership and consistently delivering quality work that adds value for clients and contributes to team success is crucial. Building a personal brand within the firm will open doors to more opportunities for you. As an Associate, your responsibilities include designing and developing ways to automate and reimagine audits, implementing innovative technologies such as Alteryx, SQL, Python, Power BI, and PowerApps. You will develop a strong understanding of the role of data and analytics in modern audits and work on technical assignments to enhance skills in data analytics and visualization. Client engagements, data management, analytics and reporting, advanced analytics, and building relationships with engagement teams and clients are key aspects of your day-to-day responsibilities. Preferred qualifications for this role include a Bachelor's or Master's degree in Computer Science, Data Analytics, or Accounting with a minimum of 1 year of relevant experience. Candidates with Big 4 or equivalent experience are preferred. Essential skills required include market credentials in data & analytics, stakeholder management, project management, analytical and problem-solving capabilities, and a long-term career ambition at PwC. Desirable skills include finance process knowledge, audit experience, use of technology in data & analytics, and experience working in financial reporting, financial accounting, regulatory compliance, or internal audit. Technical skills needed for this role encompass data transformation and modeling, data storage and querying, data visualization, understanding data quality issues, data cleansing, robotics, finance/accounting understanding, and knowledge of current data science software platforms.,

You are an experienced Project Manager with at least 7 years of experience, including a minimum of 2 years in delivery management. Your primary responsibility will be managing all customer implementations, training, POC, and Pilots to ensure timely delivery within budget and scope. Your key responsibilities include coordinating internal resources and third-party vendors for project execution, defining project scope and objectives with stakeholders, ensuring resource availability and allocation, developing monitoring schemes, and maintaining a positive relationship with clients and stakeholders. To excel in this role, you must possess a strong background in project execution, data storage, data management, and data science. Your experience in project management within the information technology sector, along with a solid technical understanding or hands-on software development experience, will be crucial. Additionally, you should have excellent client-facing and internal communication skills, both written and verbal, to effectively manage project delivery and client relationships.,

As a Lead Data Controller at Wells Fargo, you will play a crucial role in ensuring the accuracy and integrity of financial data, supporting strategic decision-making and regulatory compliance. Your responsibilities will include identifying risks, designing effective controls, and overseeing production activities such as data sourcing, processing, analyzing, and reviewing the output in a controlled environment. You will act as the lead Consultant for financial accounting matters, providing technical expertise on accounting issues, regulatory information, and research. Your role will involve providing data for preparing and reviewing financial and regulatory reports, articulating policy changes to management, and leading implementation of complex projects impacting multiple lines of business. To excel in this role, you are required to have at least 5 years of experience in Finance, Accounting, Analytics, Financial Reporting, Accounting Reporting, or Risk Reporting. Additionally, desired qualifications include experience in a data-focused role within the financial services industry, a strong understanding of financial products and risks, leadership experience, exceptional communication skills, and expertise in data reconciliation and validation. In terms of job expectations, you will be responsible for overseeing data inflow into International Controllers, ensuring data integrity through reconciliation and validation processes, resolving data discrepancies, and driving continuous improvement initiatives related to data acquisition and quality. You will also lead and develop a small team of Data Controllers, collaborate with internal departments to ensure seamless data flow, and provide relevant control metrics as required. This role offers the opportunity to contribute to the success of the Financial and Regulatory Reporting Teams and requires proactive monitoring, governance, risk identification, and making sound risk decisions aligned with the business unit's risk appetite and all risk and compliance program requirements. If you are a proactive, detail-oriented individual with a passion for data management and financial services, this role at Wells Fargo may be the perfect fit for you. Join our dynamic team and drive improvements in data management processes while ensuring the quality and availability of data for reporting purposes. Apply now and make a valuable contribution to our organization.,

You are an exceptional and highly motivated Lead Data Scientist with experience in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field. You will spearhead the design, development, and deployment of an automotive OEMs next-generation Intelligent Forecast Application. This pivotal role will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction. As a recognized expert in advanced forecasting methodologies, you will possess a strong foundation in data engineering and MLOps principles. You will demonstrate a proven ability to translate complex research into tangible, production-ready applications within a dynamic industrial environment. This role demands not only deep technical expertise but also a visionary approach to leveraging data and AI to drive significant business impact for a leading automotive OEM. **Role & Responsibilities:** **Strategic Leadership & Application Design:** Lead the end-to-end design and architecture of the Intelligent Forecast Application, defining its capabilities, modularity, and integration points with existing enterprise systems. Develop a strategic roadmap for forecasting capabilities, identifying opportunities for innovation and the adoption of emerging AI/ML techniques. Translate complex business requirements and automotive industry challenges into well-defined data science problems and technical specifications. **Advanced Model Development & Research:** Design, develop, and validate highly accurate and robust forecasting models using a variety of advanced techniques including Time Series Analysis, Machine Learning, Deep Learning, Probabilistic Forecasting, and Hierarchical & Grouped Forecasting. Incorporate diverse data sources and conduct extensive exploratory data analysis to identify patterns and key features influencing automotive forecasts. Stay abreast of the latest academic research and industry advancements in forecasting, machine learning, and AI. **Application Development & Deployment (MLOps):** Architect and implement scalable data pipelines for ingestion, cleaning, transformation, and feature engineering of large, complex automotive datasets. Develop robust code for model training, inference, and deployment within a production environment. Implement MLOps best practices for model versioning, monitoring, retraining, and performance management. Collaborate closely with cross-functional teams to ensure seamless integration, deployment, and maintenance of the application. **Performance Evaluation & Optimization:** Define and implement rigorous evaluation metrics for forecasting accuracy and business impact. Perform A/B testing and comparative analyses to continuously improve forecasting performance. Identify and mitigate sources of bias and uncertainty in forecasting models. **Collaboration & Mentorship:** Work cross-functionally with various business units to understand their forecasting needs and integrate solutions. Communicate complex technical concepts and model insights clearly to technical and non-technical stakeholders. Provide technical leadership and mentorship to junior data scientists and engineers. **Requirements:** **Qualifications & Skills:** Education in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related field. 5+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Technical proficiency in Python, R, Machine Learning/Deep Learning Frameworks, Forecasting Specific Libraries, Data Warehousing & Big Data Technologies, Cloud Platforms, MLOps, Data Visualization, and strong analytical skills. **Preferred Qualifications:** Publications in top-tier conferences or journals, experience with real-time forecasting systems, familiarity with automotive data types, experience with distributed version control systems, and knowledge of agile development methodologies. **Soft Skills:** Exceptional communication, collaboration, intellectual curiosity, strategic thinking, mentorship, resilience, and adaptability. This role offers an unparalleled opportunity to make a significant impact on the strategic direction and operational efficiency of a global automotive leader, contributing directly to the future of intelligent manufacturing and supply chain management. If you are looking to play a pivotal role in shaping a rapidly growing venture studio, thrive in a collaborative, innovative environment, access professional development opportunities, and enjoy competitive benefits, then you may be a great fit for this position.,

As a Data Analyst at Highspot, you will play a crucial role in analyzing large and complex data sets to identify patterns, create new metrics, develop predictive models, build dashboards, and generate insights that drive business decisions. Your responsibilities will include analyzing core business topics using Highspot's product and business data, partnering with cross-functional teams to leverage statistics, machine learning, and operations research techniques, conceptualizing data pipelines with the Data Engineering team, defining top-level business metrics, and leading research to uncover new opportunities for analytics within Highspot's product and business. To qualify for this role, you should have an advanced degree (MS, BS) in Data Science, Computer Science, Artificial Intelligence, Statistics, or related quantitative fields. You should also have 6+ years of experience using SQL, 2+ years of experience with Tableau, 6+ years of experience in Python and related analytics libraries, and 6+ years of experience in designing, developing, and deploying predictive models. Experience with git, AWS cloud technology, and working remotely with a U.S.-based team is preferred. The ideal candidate will have a demonstrable track record of dealing well with ambiguity, excellent communication skills, and empathy to support and contribute to the team's success. If you resonate with these requirements, we encourage you to hit the apply button and join us in revolutionizing how individuals work worldwide through intelligent content management and actionable analytics at Highspot.,

As a Computer Science Instructor specializing in Data Science and Artificial Intelligence at Lectureology Academy in Tirunelveli, you will be responsible for delivering top-notch instruction to undergraduate or professional learners. Your key responsibilities will include teaching the fundamentals and applications of Data Science and AI, designing practical lab sessions, coding exercises, and project-based learning, updating content to align with industry trends, and providing mentoring and personalized guidance to students. Moreover, you will contribute to curriculum planning and academic coordination, prepare assessments, evaluate student performance, and foster a positive classroom environment. The ideal candidate should have a strong teaching background in AI/DS frameworks, hold a Masters degree in Computer Science, possess prior teaching or training experience, and exhibit excellent communication and mentoring skills. In addition to the competitive compensation based on your 12 years of experience, you will enjoy the benefits of being part of an academic institution that values continuous learning and professional development. If you meet the qualifications of having a Masters degree in Computer Science and relevant teaching, training, or industry experience, with previous academic instruction experience being a plus, we encourage you to apply and be a part of our dynamic team at Lectureology Academy.,

The mission of Arkose Labs is to create an online environment where all consumers are protected from online spam and abuse. Recognized by G2 as the 2023 Leader in Bot Detection and Mitigation, with the highest score in customer satisfaction and largest market presence four quarters running, Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud. With 20% of our customers being Fortune 500 companies, our AI-powered platform combines powerful risk assessments with dynamic threat response to undermine the strategy of attack, all while improving good user throughput. Headquartered in San Mateo, CA, with employees in London, Costa Rica, Australia, India, and Argentina. Arkose Labs protects enterprises from cybercrime and abuse. Position Overview Arkose Labs is seeking a highly skilled and experienced Machine Learning Research Manager specializing in security to join our team in Pune, India. The ideal candidate will have a strong background in Data Science and AI/ML research, with a specific focus on fraud detection and prevention. This role requires a seasoned professional with proven leadership abilities and a commitment to advancing the field of machine learning in the context of cybersecurity. Key Responsibilities Lead and manage a team of data scientists and machine learning researchers focused on developing advanced models for fraud detection and prevention. Design, develop, and implement machine learning strategies to combat account takeover (ATO) and various forms of online fraud. Collaborate with cross-functional teams to integrate ML solutions into Arkose Labs" security products and services. Conduct in-depth analysis of fraud activities, including bots, phishing, and ATOs, to inform the development of robust ML models. Stay abreast of the latest research and trends in AI, ML, deep learning, natural language processing, cybersecurity, large language models, and multi-agent systems. Utilize programming languages such as Python, R, Java, or similar to develop and deploy ML solutions, emphasizing strong engineering principles. Ensure the effective use of big data technologies and tools in the development and deployment of ML models. Foster a culture of continuous learning and improvement within the team, encouraging innovation and excellence in problem-solving. Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Minimum of 10 years of experience in Data Science, with substantial experience in AI/ML engineering. At least 5 years of experience as a people manager, with a proven track record of leading and mentoring teams. Minimum of 3 years of hands-on experience in developing machine learning models with a focus on fraud detection and prevention. Proven track record of successful implementation of ML-based strategies to combat ATO and fraud. In-depth understanding of online or software fraud activities, including bots, ATOs, phishing, etc. Proficiency in programming languages such as Python, R, Java, or similar, with a strong emphasis on engineering principles. Exceptional problem-solving skills and the ability to think critically and innovatively. Excellent communication and partnership skills for effective multi-functional collaboration. Commitment to staying updated with the latest research and trends in AI, ML, DL, NLP, cybersecurity, LLMs, and multi-agent systems. Experience with big data technologies and tools is a plus. Excellent analytical and leadership skills. Why Arkose Labs At Arkose Labs, our technology-driven approach enables us to make a substantial impact in the industry, supported by a robust customer base consisting of global enterprise giants such as Microsoft, Roblox, OpenAI, and more. Were not just a company; were a collaborative ecosystem where you will actively partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users across the globe. Why do top tech professionals choose Arkose Labs Cutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients. Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment. Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events. Ideal Size: Were structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas. Join us in shaping the future of technology. At Arkose Labs, youre not just an employee; youre part of a visionary team driving global change. The most recognizable brands in the world select Arkose Labs, including OpenAI, Roblox, Microsoft, Adobe, Expedia, Snapchat, Zilch, and ZipAir. We value your unique contributions, perspectives, and experiences. Be part of a diverse and high-performing environment that prioritizes collaboration, excellence, and inclusion. We hire the best, focus on their professional development, and offer support for continuing education. We Value: People: first and foremost they are our most valuable resource. Our people are independent thinkers who make data-driven decisions and take ownership and accountability in all the things they do. Teamwork: We demonstrate respect, trust, integrity, and communicate openly with a positive can-do attitude and constructively challenge one another. Customer Focus: We empathize with our customers and obsess about solving their problems. Execution with precision, professionalism, and urgency. Security: Its the lens through which we implement our processes, procedures, and programs. Benefits: Competitive salary + Equity. Beautiful office space with many perks. Robust benefits package. Provident Fund. Accident Insurance. Flexible working hours and work from home days to support personal well-being and mental health.,

The Jigya Tech Incubator provides a unique opportunity for recent graduates, career changers, and executives to upskill in New Age Tech Skills such as Data Science, AI, ML, Gen AI, Cloud Computing, etc. and prepare themselves for the future. Throughout this program, you will receive academic inputs, mentorship, and guidance while working on real-world projects to solve complex business problems. The ecosystem at Jigya combines learning, work, and networking to help you establish the foundations of your Tech Career. The Jigya Fellowship Programme serves as the entry point into the Jigya Tech Talent Incubator. This initiative by the Jigya Platform aims to nurture curious young tech career enthusiasts into seasoned New Age Technology Professionals or Digital Product Designers by providing training, mentoring, and opportunities to work on live projects. The areas of specialization within the Jigya Tech Talent Incubator include Digital Product Design, Digital Media and Marketing - Growth Hacking, Full Stack Development in Data Science, AI, ML, and Gen AI, as well as Full Stack Development in Software Applications. As a "Jigya Tech Fellow - Data Science and AI," talented Tech enthusiasts can apply to join the program in the field of AI, ML, and Gen AI. Throughout the Six Months Program, selected candidates will undergo training, mentoring, and have the opportunity to work on live projects, including client projects of Jigserv Digital. There may be possibilities of working from the client site based on the client's requirements. During the program duration, the Jigya Fellow will receive a fixed stipend of INR 50,000 per month. Upon successful completion of the program, participants will receive a Jigya Tech Fellowship Certificate and a potential opportunity to work with Jigserv Digital or one of their clients as a Full-Time Employee, subject to performance and available vacancies at the end of the program. Outstanding performers may be recognized with the "Jigya Tech Scholar" certificate. Candidates applying for the Tech Fellow - AI and Gen AI role are required to have a strong background in Mathematics and Statistics, proficient Data Science, Machine Learning, and Data Mining skills, excellent problem-solving and critical thinking abilities, familiarity with relevant Cloud-based tools, technologies, and services, as well as outstanding communication and interpersonal skills. Additionally, the ability to work in a team and collaborate effectively is essential. The selection process mandates interested candidates to apply through the listing on the Jigya Platform, as only applications received through this platform will be considered for further evaluation. Shortlisted candidates may need to undergo an Online Assessment administered by Jigya. Following the screening test, selected candidates may be required to participate in a Group Discussion and one or more rounds of Personal Interviews.,

Rubicon Research Limited is a fast-growing pharmaceutical formulation company committed to delivering value to customers and investors through the development, manufacturing, and marketing of branded specialty and generic prescription pharmaceutical products in regulated markets. With a diverse product portfolio of over 250 SKUs across more than 70 product families, Rubicon Research has established marketing, sales, and distribution platforms in the US through its subsidiaries AdvaGen Pharma and Validus Pharmaceuticals. The company boasts two US FDA-inspected R&D facilities in India and Canada, along with two manufacturing facilities in Maharashtra, India, that hold accreditations from various regulatory agencies. Equipped with advanced drug development and manufacturing capabilities across dosage forms, Rubicon Research is headquartered in Thane, India, with a sales and marketing office in New Jersey, USA. Position Title: Head of Business Application Type: Full time Location: Thane, Maharashtra As the Head of Business Application at Rubicon Research, you will be tasked with leading all business applications across the organization's locations, including its US and Canada subsidiaries. Your primary responsibility will be to spearhead the digital transformation agenda at Rubicon, collaborating with key stakeholders to ensure top-notch business applications across all functions. Key Deliverables: - Develop a roadmap for Digital Transformation by staying abreast of technology trends, benchmarking with industry peers, and aligning with business functions to enhance operations. - Drive the digital transformation agenda focusing on digitizing paper-based processes, leveraging SAP S4/Hana, enhancing quality systems, implementing Warehouse Management Systems (WMS), and managing master data governance. - Design and implement a robust technology stack for Business Analytics and Dashboarding to improve business results. - Define the IT Agenda encompassing Run, Grow, and Transform aspects, manage project portfolios and resources effectively. - Establish and enhance the IT operating model to consistently deliver business benefits aligned with the IT vision. - Ensure compliance with organizational objectives, policies, and standards, and provide regular project status reports to management. - Anticipate and communicate any project delays or conflicts to management promptly, evaluate, appoint, and oversee system implementors and support partners. - Uphold quality requirements, document system processes and configurations, and conduct regular meetings with vendors and teams to monitor progress and address project-related issues. - Clarify project scope, develop project plans, identify resource requirements, and define clear deliverables and responsibilities for internal teams and vendors. - Research and evaluate software technology options for large-scale projects, considering cost-benefit analyses. Ideal Profile: - Experience in managing business application and automation projects in SAP environment. - Hands-on experience in overseeing automation projects involving diverse stakeholders. - Preferably from a Pharma company operating in regulated markets or a consumer company with advanced IT systems. - Strong understanding of business processes. Key Behavioral Traits: - Problem-solving skills - Collaboration abilities - Process-oriented mindset - Adaptability - Ambitious and driven attitude For more information, please visit www.rubicon.co.in.,

The position is based in Hyderabad, India within the IT department at Company XYZ. As a member of the Data Product Managers team, you will play a crucial role in developing quality data collection processes, ensuring the integrity of data foundations, and facilitating rapid access to data for decision-making and innovation by business leaders, data scientists, and data engineers. Your key responsibilities will include: - Taking ownership of end-to-end Data + Analytics delivery execution, optimizing resource allocation and sequencing. - Overseeing the design, construction, and management of business-ready data within the Enterprise Data Foundation. - Facilitating coordination between Domains, Products, and Projects to drive re-use and reduce redundancy in the D+A and broader PepsiCo portfolio. - Creating data roadmaps to meet hydration targets and support timely delivery for global data initiatives. - Managing delivery against key technical milestones and reporting progress against hydration milestones. - Leading cross-chapter Pod resources towards shared goals and participating in Planning to align domain goals with program/product milestones. - Collaborating with multiple stakeholders to define Epic and feature definitions and guide user stories for delivery. - Designing and documenting data product artifacts required by the team and ensuring technical documentation is accessible to key stakeholders. - Cataloging data in the Data Foundation for easy access by business stakeholders and tracking benefits of insights for leadership acceptance. - Working with program Data Product Managers to manage expectations and eliminate disconnect on what can be addressed. The ideal candidate should possess: - 9+ years of experience in Product Management, Data Analytics, Data Science, or Data Management and Operations in business-facing functions. - 4+ years of experience in leading/building advanced analytics and big data solutions, large scale data modeling, or building enterprise SaaS. - Experience in a data-centric business environment and identifying sources of value from data analytics across core business domains. - Familiarity with data governance and stewardship principles and tools. - History of working in agile environments and successfully delivering complex products. - Strong communication skills to convey complex information in a clear and concise manner. - Leadership skills with a team-player attitude to drive end-to-end implementation of use cases under time pressure. - Ability to drive innovative solutions using data science, feature engineering, and machine learning. - Proficiency in team development and talent cultivation across various experience levels.,

The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of Financial data and reporting across Consumer and Community Banking. The vision of the team is to enhance the lives of the people and increase value to the firm by harnessing the power of data and utilizing the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills for the future. The overall product objectives include constructing a data environment that enables cross-business, product, customer-centric decision making and reporting needs across Consumer and Community Banking in a consistent framework, creating an ecosystem of dashboards sourced from authoritative data sources to replace manual management reporting, and eliminating user tools to save time and increase the ability to generate insights through data and dashboards. As a Data Domain Architect in CBB- field performance area, you will play a key role in bringing transformation in how Financial, Operational, and Behavioral Data are reported and analyzed across Consumer Banking and Business Banking within CCB. Your responsibilities will include but are not limited to discovering, sourcing, designing, and delivering data domains into the Databricks powered Data Mart, enabling the Finance function to support their analytical and reporting needs. You will need to understand the needs of Finance and make data discoverable and available for analytical and reporting purposes. Job Responsibilities: - Conduct comprehensive data discoveries, sourcing, and maintenance of Financial and Operational data to support Field Performance Reporting and analytical needs. - Develop detailed Data Requirement documentation aligned with overall data strategies and models. - Collaborate with the Technology team to develop and test data wrangling workflows, ensuring validation of business logic and outcomes. - Perform integration and regression testing of data components, ensuring compliance and control measures. - Proactively identify and resolve issues/challenges, highlighting potential risks to leadership. - Engage closely with end-users and IT during the UAT phase to validate that production results meet business requirements. - Serve as a subject matter expert in relevant areas, providing support and guidance to other team members. Required qualifications, capabilities, and skills: - Bachelor's degree in MIS, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field. - Over 10 years of experience in financial solutions, data engineering, data science, or business intelligence within the financial services domain. - Proven experience in building data models that accurately represent business requirements and ensure data integrity, with a strong understanding of data governance principles. - Expertise in database queries including SQL and NoSQL, proficient in ETL techniques. - Solid understanding of data warehousing concepts, design principles, reporting development, and testing. - Deep industry or business domain knowledge relevant to the organization, proficiency in tools such as Databricks/Snowflake, Alteryx, Tableau/ThoughtSpot. - Awareness of technologies and frameworks for handling large data volumes and familiarity with analytical tools. - Ability to think beyond raw data, understand the business context, and identify business opportunities within data. - Strong written and oral communication skills, ability to engage stakeholders across technology, data, and business functions. - Capacity to solve data-related challenges, anticipate future needs, and meet tight deadlines. - Must be able to work physically in the Bangalore office 4 days a week with the option to work remotely from home 1 day per week. Join us to leverage your expertise and drive data-driven insights and solutions in a dynamic and collaborative environment. If you are passionate about data architecture and eager to make a significant impact, we encourage you not to miss this opportunity.,

As an Asian leader in treasury operations, DBS Global Financial Markets (GFM) offers a wide range of capabilities including trading, structuring, and sales across various financial products. With a strong presence in regional markets, we focus on market-making, structuring, innovating, and distributing products to meet the needs of our clients. We are looking for a candidate with data science expertise to support the data analytics capabilities of Global Financial Markets (GFM). The role involves sourcing, compiling, designing, and analyzing structured and unstructured data to create a data model framework. This will help in identifying business opportunities, process inefficiencies, and overall business trends. Reporting to the Head of Digital and Data, GFM India, the role will be part of the wider DBS Global Financial Markets Data Analytics team. The key areas of focus include enhancing trading execution, portfolio optimization, process optimization, and providing data-driven insights for business opportunities. The responsibilities of the role include collaborating with various teams within DBS, prioritizing analytical strategies, streamlining data deliverables, exploring advanced data analytics models, and creating data visualizations using BI tools. The candidate will also work on automating data analytics models, testing machine learning models, and exploring new data solutions. Requirements for this role include a general understanding of Financial Markets, expertise in problem-solving, hands-on experience in programming languages like Python, PySpark, SQL, and data visualization tools such as Tableau. The ideal candidate should be a self-starter, possess strong interpersonal skills, and have the ability to drive business benefits through data solutions. Qualifications for this role include a Bachelor of Science degree in Computer Science, Data Science, or equivalent disciplines. Candidates with relevant experience in Data Analytics, Data Science, Business Intelligence, or related fields are preferred. Hands-on project experience in developing machine learning models is also desirable. If you have a can-do attitude and meet the qualifications mentioned above, we encourage you to apply for this exciting opportunity to be part of the Global Financial Markets team at DBS.,

As an Analytics Associate Manager in the Insights and Intelligence vertical at Accenture, you will be responsible for generating insights using the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to clients. Your expertise will be crucial in building world-class solutions, tackling business problems, and overcoming technical challenges using AI Platforms and technologies. It will be essential for you to leverage existing frameworks, standards, and patterns to establish architectural foundation and services needed for scalable AI applications, demonstrating your expertise through active blogging, publishing research papers, and creating awareness in this emerging field. You will be a key member of the Marketing & Customer Analytics team, which focuses on measuring, managing, and analyzing marketing activities to provide actionable insights and recommendations for optimizing ROI and operational efficiency. Your exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst will be valuable in this role. Additionally, you will play a vital role in the Accenture Operations global Applied Intelligence group, working with machine learning and advanced analytics to drive data-driven decision-making and business transformation. Your responsibilities will include leading a team of data scientists to develop and deploy data science models, refining and enhancing these models based on feedback and evolving business needs. You will analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. We are looking for candidates with extensive experience in leading Data Science and Advanced Analytics delivery teams, strong statistical programming skills in Python, R, SAS, S-plus, MATLAB, STATA, or SPSS, and experience with large data sets and big data tools like Snowflake, AWS, and Spark. Moreover, you should have solid knowledge in areas such as Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling, Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models, and experience in domains like CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, and Supply Chain. Your role will involve client engagement, business development, and working in a global collaborative team environment. In summary, as an Analytics Associate Manager at Accenture, you will play a crucial role in leveraging data science and advanced analytics to drive insights and value for clients, while contributing to the growth and success of the organization.,