Trabajos data scientist en Atlanta, GeorgiaCrear alertas

Requirements Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related STEM field (Master's preferred). Strong SQL and programming skills with experience working with large, complex datasets and data science project lifecycles. Lead Data Science in Healt

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

Degree on the Wall, Interview Inbox on Empty Graduation Did Not Come With a Recruiter You walked across a stage, posted the photo, and expected software engineer interviews to follow.Instead, junior Java postings want Spring Boot, REST, SQL, Git, and "two years of experience” for an entry-level sa

Job DescriptionStaff Scientist – Environmental Assessments Annual Salary Range: $70,000–$95,000 BLEW is excited to announce an opening for a Staff Scientist specializing in Environmental Assessments. In this role, you will be instrumental in managing projects that involve both environmental and physical property condition assessments across the United States. This is a fantastic opportunity to grow within the commercial real estate due diligence industry. We are seeking candidates who have the ability to perform one or more of the following types: • ESA, • PCA, • ESA/PCA Dual, • FMAC ESA / FMAC PCA / FMAC Dual, • FNMA SBL ESA / FNMA SBL PCA / FNMA SBL Dual, • RADON, • EQUITY PCA, • ASM Sampling, • MEP/HVAC, • LBP Assessment, • Construction, • Phase II, • Seismic Risk Responsibilities • Conduct and prepare Environmental Site Assessments (ESA, PCA, or other reports for which you are qualified as listed above)., • Provide clear, well-supported recommendations and solutions to Managing Directors and clients while understanding how assessments impact transactions., • Oversee quality control throughout project lifecycles., • Conduct site visits and lead fieldwork activities., • Write Report., • Perform research (historical, regulatory, etc.) and compile supporting data., • Communicate with clients and site representatives., • Prepare professional supporting documentation (figures, appendices, etc.)., • Other tasks as assigned by the Managing Director related to report deliverables and schedules. Requirements • Minimum of 3-5 years of experience in conducting assessment work in either ESA / PCA's., • Strong understanding of the ASTM protocols and relevant regulatory requirements., • Excellent written and verbal communication skills., • Strong analytical thinking and problem-solving abilities., • Ability to manage multiple projects and meet strict deadlines., • Familiarity with industry standard report writing software's i.e. Quire / Parcel., • Professional certifications in any of the disciplines is a plus., • Ability to travel 90% of the time. Benefits • 95% coverage of health benefits including Medical and Dental with optional family and/or dependent enrollment paid by employee at a group rate, • 50% company contribution towards Vision coverage, • Tuition reimbursement (up to $5,250 per year), • 401(k) matching program: company match 100% of your deferrals up to 3% of your compensation, plus 50% of your deferrals over 3% not exceeding 5% of your compensation, • 100% employer paid Short-Term Disability with employee buy up options, • 100% employer paid Life Insurance Coverage with employee buy up options, • Paid parental leave, • Holiday pay, • Sick pay, • Paid vacations, • Possible year-end bonuses based on performance and tenure, • Company computer, • Relocation and Sign on Bonuses may apply

If warranted, the next step would be a video interview with our Principal Data Scientist for forty-five (45) minutes. If you would like more information about how your data is processed, please contact us. PadSplit is growing its analytics platform and needs a hands-on Data Engineer to work alongsid

Relevant experiences in Data Science, Applied Science, or Economist roles, preferably for safety, enforcement engineering, fraud etc. If PhD degree, a minimum of 4+ years of industry data science experience required). We are looking for a Staff Data Scientist to join our Safety Insights Data Science

At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications. Data Scientist / Software Engineer. This is not a research-only or notebook-only position — you will own the full lifecycle of data-driven capabilities, fro

Are you ready to dive into the world of big data and complex algorithms? We’re seeking a Senior Data Analyst/Scientist to become a key technical contributor on our Complex Algorithm Team. Experience developing or contributing to acceptable use policies and security guardrails for AI tools (coding

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Research and dete

Foodsmart is the leading Foodcare platform in the U.Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs.Our platform is designed to

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field, • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role, • Advanced knowledge of probability theory, statistics, and machine learning methods is required, • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred, • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data, • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus, • Strong written and verbal communication skills, • Strong programming skills in Python (preferred), R, and SQL, • Experience and understanding of relational and non-relational databases preferred, • Comfort working within git-based version-control environments, • Experience with Databricks or other cloud-based data and analytics platforms preferred, • Highly motivated, detail oriented, and team player BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job Description Job Summary: We are seeking a talented Data Scientist to support AI exploration and implementation to enhance our business operations. The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools. As part of our leading-edge advanced analytics team, you will help drive analytics across the organization to improve customer experience and optimize operations. This is an individual contributor role, providing autonomy in technical and analytical choices, including determining the appropriate modeling techniques and making design decisions. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205-756-4834

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation

Job DescriptionData Scientist Role Type: Contractor Location: Remote About the Role We are looking for experienced data scientists and quantitative professionals to support AI training and evaluation projects. You'll apply expertise in machine learning, statistics, experimentation, and data analysis to evaluate and improve AI model performance. Key Responsibilities • Evaluate AI outputs across data science, statistics, ML, and quantitative problems., • Create expert-level prompts, datasets, and reference solutions., • Identify statistical errors, flawed methodologies, and weak reasoning., • Provide structured feedback to improve AI model capabilities.Required Skills, • Python & Pandas, • Machine Learning, • Statistics, • Data Analysis, • Experimentation, • Data ModelingPreferred Qualifications, • 1+ year of experience in technology, finance, research, or a similar environment., • Relevant experience within the past 7 years., • Undergraduate degree from a top-ranked university., • Strong written communication and ability to explain technical concepts clearly., • Based in an English-speaking country.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all.Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI.From idea to product, Figma empowe

Mentor other data scientists and analysts, and contribute to technical standards, data governance, and MLOps best practices.

You are a data engineer, a data scientist, and a general solutioner. UDS Store (Iceberg, Rook/Ceph, pgvector, Postgres), wire up UDS Transit for air-gap data movement, configure UDS Govern policies (Pepr/Lula), and integrate UDS Connect (Strimzi/Kafka) where streaming or legacy connectors are requir

Job Description Data Scientist (5–10 Years Experience) Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets. Key Responsibilities: 1. Data Analysis: Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights. Apply statistical techniques to derive meaningful information for business strategies. 1. Predictive Modeling: Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes. Utilize techniques such as regression analysis, classification, and clustering. 1. Data Visualization: Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn). Effectively communicate insights to both technical and non-technical stakeholders. 1. Hypothesis Testing: Formulate and test hypotheses to statistically validate business decisions and recommendations. 1. Feature Engineering: Engineer and select relevant features to optimize the performance of machine learning models. 1. Algorithm Development: Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks. 1. Data Integration: Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses. 1. Model Deployment: Deploy machine learning models into production environments to support real-time analytics and decision-making. 1. A/B Testing: Design and evaluate A/B tests to assess the impact of process or product changes. 1. Data Ethics: Ensure data handling practices meet ethical standards, including privacy and compliance with regulations. 1. Cross-functional Collaboration: Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 1. Mentorship: Provide guidance and mentorship to junior data scientists and analysts to support team development. 1. Continuous Learning: Stay updated on the latest data science tools, trends, and best practices through professional development. Qualifications: Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master’s or Ph.D. is a plus. Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis. Programming Languages & Tools: Proficiency in Python, R, or Julia. Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn). Database Skills: Strong understanding of databases and SQL-based data manipulation. Additional Skills: Advanced problem-solving and critical thinking abilities. Strong communication skills for conveying technical findings to diverse audiences. Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus. Awareness of data ethics and regulatory compliance.

Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: • Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements, • Develop data models top optimize and improve work of e-commerce functions, • Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance, • Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance, • Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics, • Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements:, • Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science)., • Must have data modeling, predictive analytics and/or machine learning experience, • 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software, • MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS, • Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI, • This is not a developer position, but you must possess strong SQL coding skills, • Experience in data mining and understanding of machine-learning and operations research is an advantage, • Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have:, • Experience in data mining and understanding of machine-learning and operations research is an advantage, • Proficiency in Excel, PowerPoint, MS Access is a plus, • Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark, • Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset, • Knowledge of Python will be a plus Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com. . ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: Educational Background • Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline., • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics. Technical & Analytical Skills • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)., • Strong applied statistics skills for:, • Risk modeling, • Predictive analytics, • Pricing & underwriting analytics, • Catastrophe exposure analysis, • Proficiency in statistical and machine learning techniques, including:, • Regression (GLM, GAM, GAMMs), • Time-series forecasting, • Gradient boosting, random forests, and other tree-based models, neural networks models, • Clustering and segmentation, • Bayesian methods, • Hands-on experience with key programming tools:, • Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus), • R (actuarial/statistical packages), • SQL for data extraction and manipulation, • Familiarity with Git and Docker is a plus, • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus. Preferred Domain Knowledge in Risk Modeling • Strong understanding of property & casualty insurance, including:, • Exposure modeling, • Loss distributions (e.g., Pareto, lognormal, gamma), • Catastrophe risk concepts and tail modeling, • Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR) Data Skills • Ability to work with large structured and unstructured datasets., • Expertise in data cleaning, transformation, and feature engineering., • Experience building automated data pipelines and scalable model workflows. Modeling & Communication • Ability to translate complex statistical concepts into actionable business insights., • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders., • Strong documentation and model governance discipline. Professional Competencies • Curious, analytical thinker with strong problem-solving ability., • Ability to work independently in ambiguous problem spaces., • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job Description Job Description: 4P Consulting Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology. Key Responsibilities: • Data Collection: Gather and collect large datasets from multiple sources, including APIs, databases, and external providers., • Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers., • Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data characteristics and patterns., • Feature Engineering: Develop features from raw data to enhance machine learning models., • Machine Learning Modeling: Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations., • Model Evaluation: Assess and fine-tune models using relevant evaluation metrics for optimal performance., • Data Visualization: Create clear, insightful visualizations and reports to present findings to non-technical stakeholders., • Predictive Analytics: Utilize statistical and machine learning techniques to predict trends and future outcomes., • Statistical Analysis: Apply statistical methods to test hypotheses and analyze data., • A/B Testing: Design and execute A/B tests to evaluate changes and improvements., • Data Integration: Integrate data science solutions into existing workflows and software systems., • Data Security: Ensure data privacy by implementing appropriate security measures., • Documentation: Maintain clear documentation of processes, models, and findings., • Continuous Learning: Stay current on developments in data science and machine learning. Qualifications: • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred)., • Programming Skills: Proficiency in Python or R., • Data Tools: Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch)., • Database Knowledge: Strong understanding of SQL and relational databases., • Statistical Skills: Expertise in statistical analysis techniques., • Machine Learning: Deep knowledge of machine learning algorithms and techniques., • Data Visualization: Proficient in tools like Matplotlib, Seaborn, or Tableau., • Problem-Solving: Strong analytical and problem-solving skills., • Communication: Ability to clearly explain complex findings to non-technical audiences., • Collaboration: Experience working within cross-functional teams., • Domain Knowledge: Relevant industry experience (e.g., healthcare, finance) may be required., • Ethical Considerations: Knowledge of ethical data analysis practices, including privacy and bias concerns. Benefits: • Competitive salary, • Opportunities for career growth and development, • Health and wellness benefits, • Collaborative and dynamic work environment How to Apply: Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you’d be a great fit for the Data Scientist role.

Job DescriptionJob Title: Data Scientist-GCP Client: TBD Work Time Zone: EST Rate: $58/hour on 1099/C2C Location: Atlanta, GA ( Hybrid – 3 days on-site) We are looking for an experienced and forward-thinking Data Scientist to join our Data, Analytics, and Data Products team. The ideal candidate will have strong hands-on experience using Google Cloud Platform (GCP) tools—especially Vertex AI and Gemini—to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions. Core Responsibilities • Data Analysis & Exploration, • Analyze and explore large, complex datasets using BigQuery and other GCP-native sources., • Identify patterns, trends, and actionable insights to inform data science projects and business initiatives., • Statistical Modeling & Machine Learning, • Build, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting)., • Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development., • Generative AI & LLM Applications, • Develop and deploy generative AI use cases using Vertex AI and Gemini., • Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more., • Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG)., • Model Deployment & MLOps, • Use Vertex AI Pipelines, Model Registry, and Prediction Services to deploy and manage models., • Implement monitoring for model drift, bias detection, and performance tracking in production., • Experimentation & Validation, • Design and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact., • Define evaluation metrics aligned with model fairness, quality, and real-world utility., • Cross-Functional Collaboration, • Work closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models., • Translate complex analytical results into clear, strategic business insights. Required Qualifications • Bachelor's degree in Statistics, Computer Science, Data Science, or a related quantitative field., • 8-12 + years of experience in applied data science, machine learning, and statistical analysis., • Strong coding skills in Python or R for data analysis, modeling, and automation., • Hands-on experience with Vertex AI components (Notebooks, Pipelines, Training, Prediction)., • Familiarity with Gemini or other LLMs; experience with prompt engineering or GenAI tools., • Strong analytical thinking, communication, and storytelling abilities., • Proven track record with GenAI, including LLM integration, fine-tuning, and RAG systems., • Deep expertise in the Vertex AI ecosystem (Feature Store, Vector Search, Agent Builder)., • Solid understanding of MLOps practices and tools (e.g., CI/CD pipelines for ML)., • Experience with TensorFlow, PyTorch, or JAX.

Job Description HI, Hope you're doing well This is pankaj from 4P Consulting Please see below job description Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C • A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization. • This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Key Responsibilities: Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights. • Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. • Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations. • Feature Engineering: Engineer and select relevant features for machine learning models, • enhancing their predictive power. Algorithm Development: Build and fine- tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem. • Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses. Model Deployment: Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data Ethics: • Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross- functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals. Mentorship: • Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Qualifications: Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Masters or Ph.D. is a plus. • 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization toolslike Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Solid understanding of databases and data manipulation using SQL. Excellent problem-solving and critical thinking skills. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark). Knowledge of data ethics, privacy, and compliance considerations. • A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transforming data into actionable insights, building predictive models, and driving data-driven decision-making. This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205-756-4834

Job Description Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock real financial progress. Sound like a mission you can get behind? We're looking for a Senior Data Scientist to build and improve the machine learning models behind Mission Lane's credit decisions. The impact you'll make: Behind every "yes" from Mission Lane is a model that had to see past a credit score to the story behind it, the kind of story that doesn't fit neatly into three digits. You'll build and sharpen the models that read that signal right: accurate enough to trust, fair enough to stand behind, and sound enough to move our customers forward. A lot of our applicants don't have years of clean credit history to lean on, so the standard score alone doesn't get you very far. That means you'll get to dig into the interesting work of figuring out what else predicts repayment. Mission Lane is still young, but we've landed in an exciting, stable stretch of maturation, and you'll learn and grow right along with us. As Senior Data Scientist you will: • Design, build, and deploy supervised learning models that power Mission Lane's credit decisions, from first experiment through production, • Partner with credit risk and portfolio teams to translate open business questions into modeling problems, and communicate the trade-offs between them, • Monitor models already in production, catching drift and validating performance so they keep doing what they were built to do, • Apply strong software engineering practices to your modeling work, including test-driven development, code review, and refactoring, • Explore new data sources and modeling approaches using Mission Lane's Python data stack. Our core tech stack includes: Python and the Python data stack (numpy, polars, scikit-learn), LightGBM, DVC, Kubernetes, Airflow, Google Cloud, and Chalk, our feature store. You'll thrive in this role if: • You're motivated by practical solutions, and curiosity is part of how you work every day., • You haven't necessarily worked in credit or lending before, but you're excited to learn a domain where regulations and long-horizon predictions matter., • You're comfortable with the full lifecycle of a model, including the less glamorous parts like data cleanup, monitoring, and validation., • You work well with people outside data science and can explain a modeling decision in plain language. Minimum qualifications: • A degree in a quantitative field and 1+ years of work experience in a related role, • Experience creating, deploying, and managing supervised learning models in a production system, • Experience writing tested, reviewed, reproducible code, for data pipelines and model training alike, working fluently in the Python data stack., • Familiarity with working at the command line, shell scripting, databases, and cloud computing services, • Ability to travel ~4+ times per year for high quality in-person collaboration Preferred qualifications: • Experience solving problems in consumer lending or fintech, • Experience with Airflow, Dagster, or other data pipeline platforms Compensation: Annual full-time starting base salary range: $120,000 - $134,000 This role is eligible for additional compensation in the forms of participation in our annual incentive and equity programs. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes paid time off, 401(k) match, a monthly wellness stipend, health/dental/vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-first work environment. About Mission Lane: Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia. It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn't have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn't do. In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores. Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors. Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member. Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status. Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com. Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters. Application Integrity: Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete. Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.

Job DescriptionDescription: Senior Data Scientist – Machine Learning & AI Remote | Full-Time | $140,000 Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence. This is a hands-on role for an experienced data scientist who can take models from data exploration and development through production deployment, monitoring, and optimization. You will partner with Product, Data Engineering, Software Engineering, Analytics, and business leadership to deliver measurable business impact. This is a full-time remote position. Candidates must reside in the Continental U.S. and be able to support an 8:30 AM–5:30 PM ET business hours. Eastern and Central Time Zones highly preferred. KEY RESPONSIBILITIES • Design, build, evaluate, and deploy production machine learning models., • Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution., • Perform statistical analysis, hypothesis testing, A/B testing, causal inference, and time-series analysis., • Build feature engineering, model training, and inference pipelines., • Deploy and monitor ML models, including model performance, drift detection, and retraining., • Apply Generative AI, LLMs, RAG, and vector databases to business and customer applications., • Partner with Product, Engineering, Analytics, and leadership to translate business problems into scalable data science solutions., • Mentor junior data scientists and establish best practices for model development, documentation, and code quality. REQUIREMENTS • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred., • 5+ years | Python + SQL | production ML | predictive modeling | model deployment | MLOps | cloud | measurable business impact, • Proven ability to deliver measurable business impact through data science and machine learning., • Strong communication, analytical, and business problem-solving skills., • Expert Python and SQL skills. TECHNICAL EXPERIENCE • Machine Learning: XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning, • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, causal inference, time series, • Data & Cloud: Snowflake, dbt, Spark, Airflow, GCP preferred; AWS or Azure considered, • MLOps: MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, model monitoring, • AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases, • Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus. *You do not need experience with every technology listed above. Strong production machine learning experience is the priority. Preferred Experience • Large-scale customer or behavioral data, • Marketing analytics, personalization, or customer intelligence, • SaaS, automotive, retail, advertising, or marketing technology, • Real-time inference or streaming data, • Production Generative AI applications COMPENSATION & BENEFITS The expected starting salary is $140,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more. NEXT STEPS If you meet the requirements, and are interested in applying for this role, please complete the online employment application and be sure to upload a current resume and current contact information. About Team Velocity Team Velocity is a full-service marketing and technology company serving automotive manufacturers and dealerships nationwide. Our proprietary Apollo® technology platform uses data, predictive analytics, and AI to predict consumer behavior, personalize marketing, and help dealerships increase sales and service revenue. Join us in applying data science, machine learning, and AI to real-world business problems at scale. Requirements:

Job Description 5-10 Years This role is for someone with advanced data analysis skills and a firm grasp of the scientific method. Must be proficient in statistics and at least one programming language (typically R or Python). Responsibilities include data wrangling, data analysis, and data exploration. Should be familiar with a variety of Machine Learning algorithms and big data processing frameworks. In addition to building machine learning and other statistical models, will be expected to create data visualizations.

With a career at The Home Depot, you can be yourself and also be part of something bigger. The Home Depot's Summer Internship program offers college students an opportunity to develop leadership skills and gain hands on experience in a corporate environment. During an 11 week period from May 17 - July 30, 2027, interns will be assigned to a functional team such as Supply Chain, Marketing, e-commerce, Technology, Finance, Operations, Merchandising, Pro, Home Services, Human Resources, etc. Interns will learn more about our retail business and our corporate offices while having the opportunity to work on a pre-assigned project that impacts the function they are supporting. Additionally, interns participate in networking and development activities that set them up for success as they build their careers. What makes a Great Intern: • Action Oriented: Intern takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm, • Manages Ambiguity: Intern effectively navigates and thrives in uncertain situations while using sound judgment to make decisions without having the full picture. Is able to move work forward without all the details, • Collaboration: Intern contributes to the group's efforts and steps forward to help as needed. Seeks input from others, • Nimble Learning: Intern actively learns through experimentation when tackling new problems, using both successes and failures as learning fodder, • Communication: Intern develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audience, • Customer Focus: Intern builds strong customer relationships and delivers customer-centric solutions, • Drives Results: Evaluates information to make logical decisions and achieve results despite potential challenges or setbacks. Finance & Accounting Intern: Our Interns are given the opportunity to work on a wide variety of financial projects. Projects could include dealing with driving functional metrics, controlling costs, and working closely with our associates, in order to achieve business goals and create shareholder value. Finance interns will have the opportunity to be involved and help manage businesses with portfolios ranging from $5M to several billion in revenue. Interns will have project-based work. Tasks, responsibilities, and key accountabilities include: • Use strategic thinking to see the big picture, determine the problem and understand fundamental parts of the problem., • Prepare and deliver insights and recommendations based on analysis., • Synthesize findings and draw conclusions from analysis., • Making oral/written recommendations to upper management. Execute tasks directly related to functional projects and/or process improvements., • Communicate issues and roadblocks related to areas of responsibility., • Participate in high level Executive meetings, gaining exposure to cross-functional business units, building networking relationships, learning/mentoring from top-level management at one of the most revered companies in the world, and engaging in real world business situations that have a direct impact on over 400,000 associates Preferred Qualifications: • Currently enrolled Bachelor Degree (minimum half of coursework toward degree satisfied) in the following majors: Business, Finance, Economics or Accounting majors., • Proficient in Microsoft Office applications. Specifically Excel and PowerPoint, • Prior Internship experience, • 3.5 GPA or higher Description of Roles: (Career paths that utilize this skillset full-time) At The Home Depot, our associates always have room to move up and explore new opportunities. After the Internship, here are some examples of early career roles for interns with a background in Finance: • Financial Analyst, • Tax Analyst, • Data Scientist Location: Interns will be expected to work in-person at the Atlanta Corporate Office (Store Support Center) five days a week (Monday-Friday). Housing assistance will be provided to eligible interns.

Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. Key Responsibilities:55% Solution Development - Design and develop algorithms and models to use against

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e. OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer

Key Responsibilities:35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical

Key Responsibilities:55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently

Help us help others, and join Team Unum today!General Summary:We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience Organization. Perform other related duties as assignedJob SpecificationsBachelor's degree in quantitative field is required, Master's is prefe

Data ScientistRevenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence. In Hospitality, we are building products that help r

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. We want data science/machine learning/data analyst and Java full stack candidates. For d

The Associate Data Scientist drives business profitability and seamless acquisition of The Home Depot's recent integrations by acting as a critical bridge between data engineering, analytics, and overarching business strategy. Prioritizing business acumen over classical machine learning, the Data Sc

Analytics strategic and program management for their organization: Coaches, mentors, and helps build team. Proactively identifies and researches new approaches and skills needed for performing data science and advanced analytics. Help us help others, and join Team Unum today!General Summary:We are s

Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge20% Communicating Results - Effectively communicate insights and recommendatio

Be accountable for high-quality data science solutions with respect to accuracy, coverage, scalability, stability, and business adoptionAgentic system development and optimization: Design and build enterprise level Agentic solution, including data processing and curation, to mitigate biases and ensu

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. Required Skills for Java/Software Programmers:Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information syste

Preferred SKILLS For Java/Full stack/Devops PositionsAssociate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java, javascript, C++ or software programming Spring boot, Microservices, Docker, Jenkins,

For data science/machine learning positions:Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, ITProject work on the technologies neededHighly motivated, self-learner, and technically inquisitiveExperience in programming languag

Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. Key Responsibilities:55% Solution Development - Design and develop algorithms and models to use against

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Required skills for data science/machine learning/data analyst and Java full stack candi

Required Skills for Java/Software ProgrammersBachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, ITHighly motivated, self-learner, and technically inquisitiveExperience in programming language Java and understanding of the softwa

Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned bus

Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and servicesDefine and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-techni