Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We oer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. Youll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role: You will be responsible for building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to the Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers in day to day design and coding tasks Play a key role in hiring technical talents to build the future of Sigmoid. Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid Hands on coder with good understanding on enterprise level code Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment Culture Must be a strategic thinker with the ability to think unconventional / out:of:box. Analytical and data driven orientation. Raw intellect, talent and energy are critical. Entrepreneurial and Agile : understands the demands of a private, high growth company. Ability to be both a leader and hands on "doer". Qualifications: - 6+ years track record of relevant work experience and a computer Science or a related technical discipline is required Experience in architecture and delivery of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, propose comprehensive solutions and guide junior staff Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as AWS preferred Experience working with large, complex data sets from a variety of sources Experience with functional and object-oriented programming, Python Strong with Data Structure and Algorithms . Good Experience in System Design . Effective communication skills (both written and verbal) Ability to collaborate with a diverse set of engineers, data scientists and product managers Preferred Qualification: Experience in agile methodology Development and support experience in Big Data domain Architecting, developing, implementing and maintaining Big Data solutions Experience with database modeling and development, data mining and warehousing.

Role Overview We are seeking a highly skilled and detail-oriented HR Programs Lead to manage and enhance our HR systems and programs. The ideal candidate will be a subject matter expert in HRMS management, data integrity, and analytics, ensuring seamless HR operations and exceptional employee experiences. This role will involve collaborating with cross-functional teams to design, implement, and optimize HR programs and systems that align with organizational goals. Key Responsibilities 1. HRMS Management and Optimization: Oversee the configuration, maintenance, and optimization of the HRMS platform (e.g., Darwinbox or equivalent). Ensure system capabilities align with organizational needs and support HR processes such as recruitment, payroll, performance management, and employee engagement. Lead HRMS upgrades and integration projects, collaborating with IT and external vendors. Data Integrity and Governance: Establish and enforce data management protocols to ensure accuracy, consistency, and security of HR data. Conduct regular audits to identify and correct discrepancies in employee records and system data. Create and maintain dashboards and reports to provide actionable insights to leadership. Program Design and Delivery: Design and lead key HR programs, including employee lifecycle processes, engagement initiatives, and compliance-related projects. Partner with HR business partners and stakeholders to ensure programs meet business needs and drive employee satisfaction. Analytics and Reporting: Develop and deliver HR analytics to track key metrics, trends, and program effectiveness. Provide insights and recommendations to improve processes, optimize resource allocation, and support decision-making. Compliance and Risk Management: Ensure all HR programs and systems comply with relevant data protection policies. Prepare and support compliance audits and reporting requirements. Team Collaboration and Training: Train HR team members and other stakeholders on HRMS functionalities and best practices. Act as a point of contact for troubleshooting system issues and user support. Key Qualifications Bachelors degree in Human Resources, Business Administration, or a related field. Masters degree is a plus. 3+ years of experience in HR operations, with a strong focus on HRMS management and data governance. Hands-on experience with HRMS platforms (e.g., Darwinbox, Workday, SAP SuccessFactors, etc.). Proficiency in data analysis tools such as Excel, Power BI, or Tableau. Strong understanding of HR processes, compliance, and reporting requirements. Exceptional organizational, analytical, and problem-solving skills. Excellent communication and interpersonal skills to engage with diverse stakeholders.

About the internship Experience : Fresher Education: BE/B.Tech across all branches 2022/2023/2024 Internship Period: Three to Six months (Will be converted to a full-time employee based on performance) Stipend : 20000/month Salary post-internship (if converted to full-time employee) - 5 lac/annum Bond – 2 LPA and 2 years after conversion Interview Process: Technical round-1 will be scheduled with selected candidates (based on the result of the test) Technical round-2 will be scheduled with selected candidates (based on the result of the technical round 1) Managerial Discussion Location : Bangalore (On site) Primary Job Responsibilities: Create and maintain software solutions from DevOps tools Design, develop and maintain automation Participate in the continuous improvement and optimization of the automation model Monitor clusters & ensure everything working smoothly Set alerts for monitoring the clusters Develop slack/Microsoft teams bots to auto-correct infrastructure. Required Skills: Software development knowledge. Basic of python Basic of Linux commands Knowledge of Git Interest in cloud computing, big data tools, and examining how things work internally You can view our website at http://www.sigmoid.com or find us on Twitter, Facebook, and LinkedIn

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role: We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries. More specifically, you will: Engage with clients to understand their business context Understand business processes and map the complete process in visual formats. Translate business problems into analytical structures and solve using statistical/ML techniques Manage a team of data analysts to deliver solutions for clients. Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. Desired Skills & Competencies: Developing and enhancing algorithms and models to solve business problem. Providing end-to-end analysis support across different industry domains and application areas. Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)Conducting quantitative analyses and interpreting results Proficient in visualisation tools such as Power BI , Tableau, QlikView, Spotfire (Any). Proficient in MS SQL Database. Python knowledge is good to have. Strong analytical and problem-solving skills. Storyboarding, Client Interaction is a value addition. Education & Desired Experience 4 - 6 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions B.E/B.Tech and MBA Responsibilities Hypothesis testing, insights generation, root cause analysis, factor analysis Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms Test/train the model, Improve Model accuracy, Monitor model performance Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA Minimum Qualifications: Good exposure to machine learning concepts and algorithms Must be fluent with any one of Python, R, Java Preferred Qualifications (would be a plus): Strong in statistical & machine learning concepts Knowledge of Python Libraries - Scipy, Numpy, Pandas, IPython, Scikit-learn Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)