Company Description We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications ·         Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) ·         At least 2 years' of experience in quantitative analytics or data modeling ·         Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms ·         Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. ·         Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities ·         Analyze raw data: assessing quality, cleansing, structuring for downstream processing ·         Design accurate and scalable prediction algorithms ·         Collaborate with engineering team to bring analytical prototypes to production ·         Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

Data Science Interns at QuantCo will learn what it takes to create impact from data: identifying the right framework and questions to translate a business challenge into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders. We are looking for team players who have excellent quantitative abilities and: A major, minor, or research focus in economics, statistics, mathematics, computer science, engineering, physics, or similar fields at a leading university In-depth understanding of mathematical and statistical concepts behind the most common machine learning techniques Experience in coding and working with data (from a previous research or industry internship or extensive course projects) using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM) Ability to see solutions and opportunities that others do not see High level of commitment and reliability, good balance of pragmatism and perfectionism Business proficiency in English Bonus if skilled in any of the following tools and/or languages: SQL Git Cloud infrastructure What we offer You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people that respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, relocation and housing support along with additional location-based benefits. We accept internship applications year-round for summer and off-cycle periods. About QuantCo At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich. Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions. We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you. QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Forward Deployed Data Scientist Empirical Security is seeking an experienced Security Data Scientist to join our innovative Forward Deployed Data Scientist (FDDS) team focused on building the next generation of cybersecurity vulnerability models. Our unique approach leverages ground-truth telemetry to develop predictive, actionable insights that transform the way organizations identify, prioritize, and remediate vulnerabilities in cloud, appsec and traditional environments. We build models specific to individual customers, and maintain many of them side by side. This hasn’t been done before in cybersecurity. Come change the way security teams make decisions with us. FDDS works side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that get the right data into the hands of modeling data scientists and providing insights to our design partners and customers. Familiarity with complex cybersecurity environments and data sets is a plus here. What You’ll Do: Collaborate closely with our customers, engineering, product, and security teams to operationalize vulnerability models, ensuring scalability, reliability, and alignment with customer needs. Lead discovery and prioritization of customer security data sources (asset inventory, vuln scanners, EDR, IAM, CMDB, cloud posture, ticketing, external attack surface, threat intel), including feasibility, value, and effort trade-offs. Apply exposure-management domain expertise to ensure data supports actionable use cases (attack surface reduction, vulnerability prioritization, remediation workflows, risk acceptance, SLA tracking). Partner with engineering to design and validate ingestion pipelines (APIs, exports, streaming/batch), ensuring reliability, observability, and secure handling of customer data. Perform pragmatic data analysis to diagnose data issues and quantify impact (completeness, accuracy, timeliness, consistency), and recommend remediation steps to customers and internal teams. Define and maintain customer-facing technical documentation: integration guides, data dictionaries, validation checklists, and runbooks for common ingestion and modeling issues. Collect, clean, explore, analyze, and normalize various security data sources. Stay current on exposure-management practices, vulnerability intelligence, attacker tradecraft, and the relevant vendor ecosystem to inform integrations and customer guidance. What You’ll Need: Baseline engineering hygiene (Python/SQL comfort, APIs and data formats, Git/version control, and an appreciation for reliability/observability and secure data handling). Enterprise security engineering / architecture fluency (security controls, reference architectures, trade-offs, and how security capabilities integrate into real-world enterprise environments). Exposure and vulnerability management expertise (asset-centric thinking, prioritization workflows, remediation SLAs, exception handling, and common program maturity patterns). Security data integration and normalization skills (ability to evaluate customer data sources, assess data quality, define mapping/normalization, and drive onboarding priorities). Strong customer-facing technical communication (requirements discovery, explaining complex technical concepts clearly, running workshops, and producing crisp technical documentation). Don't check off every box in the requirements listed above? Please apply anyway! Studies have shown that marginalized communities - such as women, LGBTQ+ and people of color - are less likely to apply to jobs unless they meet every single qualification. Empirical Security is dedicated to building an inclusive, diverse, equitable, and accessible workplace that fosters a sense of belonging – so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to still consider submitting an application. You may be just the right candidate for this role or another one of our openings!

Job Description Reach me at venkat.ram(at)scadea(.)net Technical Architect with expertise in Advanced Case Management with IBM Case Manager and FileNet P8 platform. This position would involve working with business and IT stakeholders to understand business needs in the area of case management and provide solutions; provide technical leadership to development team. Work with business analysts, developers, project managers, and users to capture requirements, provide solution design and govern implementation. Qualifications Desired Skills & Experience: 10+ years of IT experience 5+ years or experience with Case Management and Business Process Management 5+ years of experience with FileNet P8 platform, IBM Case Manager Experience with the following technologies: IBM Case Manager 5.1/5.2 IBM FileNet P8 Content Manager IBM FileNet P8 Business Process Manager IBM Forms Integration JavaScript, DOJO Java, Java Enterprise Additional Information All your information will be kept confidential according to EEO guidelines.