1036 Logistic Regression Jobs

Role Responsibilities Develop real time and batch risk models to screen online transactions and stop fraudulent ones Document and communicate model results and insights internally Support Senior/Staff Risk Scientists with ad-hoc analysis in response to internal and external requests Continuously track and evaluate the effectiveness of risk models and rules Analyze online transaction activity to identify loss reduction opportunities and devise actionable plans to exploit such opportunities Profile customer behavior to identify opportunities to enhance model/rule performance Role Requirements Preferably Masters degree or Graduate degree in quantitative related field (Statistics, Math, Operatio...

Job Description Role and Responsibilities: Emphasis is on end-to-end delivery of analysis Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client s data/ IT teams to resolve issues Hands on experience on Machine Learning algorithms such as Logistic Regression, Random Forest, XG Boost Use variety of analytical tools (Python, SQL, PySpark etc) to carry out analysis and drive conclusions Reformulate highly technical information into concise, understandable terms for presentations Candidate Profile: Required skills: Python, SQL, Hive,PySpark, Hadoop, Tableau 4- 6 years of consulting, analytics delivery...

Role Overview: As an Analytics professional at Tata Capital, your primary responsibility will be to drive analytics initiatives across the organization. You will be utilizing sophisticated statistical techniques to design advanced analytical scorecards for various purposes such as customer acquisition, customer lifecycle management, and collection/recoveries. Additionally, you will be conducting portfolio analysis and deep diving into various segments/cohorts to derive meaningful insights. Key Responsibilities: - Manage Bureau relationship and leverage it for market trends/insights - Augment data through external/Alternate Data providers partners for better scoring - Utilize Machine Learning...

In this role at Ajira Software, a US-based smart solutions software company with offices in the US and Pune, India, you will be part of the development team focusing on creating smart products that utilize artificial intelligence algorithms. As a Senior Data Science Developer in Pune, you will work on building complex cloud-based and mobile business applications, solving significant systems problems, and developing products that operate within our customers" ecosystems. Key Responsibilities: - Utilize AI frameworks like Tensor Flow and Keras in a professional setting - Demonstrate at least a couple of years of experience with Python/R - Work with multiple classification models and tools such...

8+ years of experience in Life Science / Pharmacy Hands on experience in statistical programming languages like R, Python, Good to have experience in Thingworx analytics and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators etc. Good knowledge of machine learning methods like k-Nearest neighbors, nave bayes, SVM and decision forests. R OR Python + ML + Regression + classification + clustering + SVM (support vector machine) + decision trees / random forest.

Key Responsibilities Collaborating with your peers and engaging with Software Engineers,Product Managers, Delivery as part of our cross functional teams Advocating for the utilisation of the quality-first mindset throughoutthe development process Ensuring that we are embedding quality into our processes, utilisingrelevant techniques and heuristics where required to ensure effective testingand feedback loops You will be hands on, working with engineers to test and measure qualityas products are being built Requirements Lead - 5+ years within the quality engineering space For leadroles: Wed like to also see proven experience in leading and coaching juniorengineers when it comes to quality and ...

As a Senior Analyst - Data Science at our technology-led healthcare solutions provider, you will play a crucial role in leading analytical solutioning and model development in the pharmaceutical commercial analytics domain. Your responsibilities will include partnering with cross-functional teams and client stakeholders to gather business requirements, designing and implementing Decision Engine workflows, analyzing complex datasets, and developing predictive models for various use cases. Additionally, you will mentor junior team members, stay updated with industry trends, and ensure data quality through systematic checks. Key Responsibilities: - Partner with cross-functional teams and client...

As a Senior Consultant, Risk Analytics at Northern Trust, you will be responsible for validating models developed predominantly in Python or R, and occasionally SAS. Your role will involve challenging the conceptual soundness of regression and machine learning models and ensuring the use of appropriate and high-quality data for development. You will also need to demonstrate advanced proficiency in financial models related to portfolio analysis, asset management, Value at Risk, Monte Carlo, CAPM, and Factors. Key Responsibilities: - Validate models developed in Python or R, occasionally SAS, ensuring the conceptual soundness and quality of data used - Demonstrate proficiency in financial mode...

You are invited to join Bridgei2i Analytics in their journey to establish a best-in-class organization that promotes the widespread adoption of business analytics globally. As part of the team, you will be responsible for developing and implementing advanced analytical approaches across various projects, industries, and solutions. To excel in this role, you are expected to possess a blend of analytical and functional skills, capable of transforming business requirements into scalable solutions while understanding the significance of data mining and analytical methods. Your creative thinking will be essential in devising unique analytical strategies to address challenges effectively. **Role O...

As a Data Scientist at Colgate-Palmolive, you will be a key part of the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical, working on high-impact business cases to address critical questions with actionable insights and scalable solutions. Your role will involve leading projects within the Analytics Continuum, utilizing machine learning, predictive modeling, simulations, and optimization techniques to deliver measurable value for the company. **Key Responsibilities:** - Conceptualize and develop predictive modeling, simulations, and optimization solutions to tackle business challenges - Apply machine learning and artificial intelligence algorithms to create inferential and predictive models ...

Role Overview: You will be joining the Model Risk Management Group (MRMG) as a Consultant, Risk analytics at Northern Trust. Your primary responsibility will be to support the model validation function by validating models developed in Python or SAS. You will challenge the conceptual soundness of machine learning models and ensure the quality of data used for development. Additionally, you will have a solid understanding of various financial models and risks associated with AI/ML models. Key Responsibilities: - Validate models developed in Python or SAS, ensuring the conceptual soundness and quality of data - Proficiency in financial models used in portfolio analysis, asset management, Value...

Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Lead the implementation of large language models in AI applications. - Research and apply cutting-edge AI techniques to enhance system performance. - Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with ...

iSOCRATES is a Global Leader in MADTECH Resource Planning and Execution(TM), providing Strategy and Operations Consulting and Managed Services for Marketing, Advertising, and Data technologies. The company is known for its specialists who deliver reliable and affordable solutions 24/7/365, focusing on saving partners money and time while ensuring transparent and accountable performance. Lead Data Scientist at iSOCRATES: As a Lead Data Scientist at iSOCRATES, your role involves spearheading the Data Science team, focusing on defining, designing, and analyzing audience, campaign, and programmatic media trading data. You will collaborate with partner-focused Managed Services and Outsourced Serv...

Tata Tele Business Services is looking for Cluster Lead to join our dynamic team and embark on a rewarding career journey A Cluster Lead is responsible for overseeing and managing a group or cluster of related teams or departments within an organization The primary objective is to ensure efficient operations, productivity, and the achievement of strategic goals within the assigned cluster Key Responsibilities:Team Leadership:Lead and manage a team of managers or supervisors responsible for various functions within the cluster Provide guidance, mentorship, and support to team members, fostering a positive and collaborative work environment Strategic Planning:Collaborate with senior management...

Identify and analyze business needs, gather requirements and define the scope and objectives to drive business decisions. Prepare data and explore new potential data to support reporting and analysis initiatives. Required Candidate profile Bachelors degree in a related field or equivalent experience. Minimum of four years of related work experience (including Power BI).

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with cross-functional teams to understand business needs, an...

About The Role Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Oracle Database Administration (DBA) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will serve as a vital link between clients and the systems or applicatio...

About The Role Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Oracle Database Administration (DBA) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot problems, ...

The Principal Engineer Data science combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. Principal Engineers are part of a formal career path for technical personnel wanting to continue to develop and grow their technical competencies while having increasingly more impact on the business. As recognized experts in specialized fields, they normally lead or support projects and initiatives with broad scope and high impact to the business. They are responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of...

Primary Responsibilities: Develop ML models especially involving text (Structured/Unstructured) covering NLP, NLU, Semantic, Intent, Classification tasks involving text Develop GenAI models with focus in SLM and LLMs. Productization of GenAI, e.g. RAG, CoT Evaluate and Optimize ML models Translates concepts into working module Adherence to aggressive timeline Required Qualifications: BTech/MTech/PhD in CS 4+ years of exposure in Deep learning model development 2+ years exposure in Generative AI and large language models tuning/development/customization Ability to code in Python language Team player.

Essential Responsibilities: Be a SFDC/force.com platform technical lead and provide technical expertise across multiple commercial platforms/tools Directly work with product owners, product managers and other architects to provide technical solutions, which directly helps the front-line sales teams Drive large and complex solution implementation and own the solution from end-to-end and be responsible for documenting technical solutions based on the requirements and industry best practices. Strong promoter of process and technology standardization across commercial platforms/tools and be the catalyst to promote reuse. Validate technical feasibility of design approach outlined by Enterprise Ar...

data science Required Skills

DS Gen AI Required Skills Pytorch, Reinforcement Learning, SQL, Supervised ML, Tensorflow, Transformer Models, Transformers, Unsupervised ML

DS Gen AI Required Skills Pytorch, Reinforcement Learning, SQL, Supervised ML, Tensorflow, Transformer Models, Transformers, Unsupervised ML

DS Gen AI Required Skills Experience with GPUs and Hardware Acceleration, Image Processing, Neural Networks, Pytorch, Reinforcement Learning, Tensorflow