Senior Software Engineer - Data Job Description: We are looking for a tech savvy Data Engineer to join our growing data team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The hire must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Data Engineer Job Responsibilities: Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity. Implement processes and systems to monitor data accuracy, ensuring 100% data availability for key stakeholders and business processes that depend on it. Write unit/integration tests and document work. Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Design data integrations and reporting framework. Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs Design and evaluate open source and vendor tools for data lineage. Work closely with all business units and engineering teams to develop strategy for long term data platform architecture. Data Engineer Qualifications / Skills: 3+ years of Java development experience Experience with or knowledge of Agile Software Development methodologies Excellent problem solving and troubleshooting skills Process oriented with great documentation skills Experience with big data technologies like Kafka, BigQuery, etc Experience with AWS cloud services: EC2, RDS, etc Experience with message queuing, stream-processing systems Education, Experience and Licensing Requirements: Degree in Computer Science, IT, or similar field; a Master’s is a plus 3+ years of hands on development experience 3+ years of SQL experience (No-SQL experience is a plus) 3+ years of experience with schema design and dimensional data modeling Experience designing, building and maintaining data processing systems
Ziroh Labs is a Data Security and Privacy Technology startup based in the Bay Area (California), Bangalore, Singapore and Canberra. We focus on cutting edge encryption techniques which include Fully Homomorphic Encryption. The scientific and technical research team at ZirohLabs includes award-winning computer scientists, cryptographers, PhDs and developers in distributed computing, large-scale distributed storage systems, and algorithms.Job Profile:As an Applied Scientist, you will be responsible for implementing cutting edge AI/ML algorithms in Computer Vision and Natural Language Processing problems. You need to collaborate with engineers and researchers to critically analyze, provide insights and visualizations for solving complex problems in Ziroh Labs. You will train AI/ML models in Python and often integrate and deploy in Java, C++, C# etc.Preferred Qualifications: Masters in Data Science, AI/ML or quantitative fields like Mathematics, Statistics, Computer Science, Physics, etc. Experience with Python, Tensorflow, Keras and Pytorch Experience in OpenCV, NLTK, GenSim, spaCy, etc. Mathematical understanding of AI/ML algorithms Contribution to Open-source projects will have higher chances
Role Summary We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you. Roles & Responsibilities Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc. Facilitate review sessions with management, business users and other team members Design and create visualizations to present actionable insights related to data sets and business questions at hand Develop intelligent models around channel performance, user profiling, and personalization Skills Required Having 4-6 yrs hands-on experience with Product related analytics and reporting Experience with building dashboards in Tableau or other data visualization tools such as D3 Strong data, statistics, and analytical skills with a good grasp of SQL. Programming experience in Python is must Comfortable managing large data sets Good Excel/data management skills
Introduction The Biostrap platform extracts many metrics related to health, sleep, and activity. Many algorithms are designed through research and often based on scientific literature, and in some cases they are augmented with or entirely designed using machine learning techniques. Biostrap is seeking a Data Scientist to design, develop, and implement algorithms to improve existing metrics and measure new ones. Job Description As a Data Scientist at Biostrap, you will take on projects to improve or develop algorithms to measure health metrics, including: Research: search literature for starting points of the algorithm Design: decide on the general idea of the algorithm, in particular whether to use machine learning, mathematical techniques, or something else. Implement: program the algorithm in Python, and help deploy it. The algorithms and their implementation will have to be accurate, efficient, and well-documented. Requirements A Master’s degree in a computational field, with a strong mathematical background. Strong knowledge of, and experience with, different machine learning techniques, including their theoretical background. Strong experience with Python Experience with Keras/TensorFlow, and preferably also with RNNs Experience with AWS or similar services for data pipelining and machine learning. Ability and drive to work independently on an open problem. Fluency in English.
High Level Scope of Work : Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process. Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model Gather additional and external data sources to support the AI/ML Model as desired . Support the ML Model and FINE TUNEit to ensure high accuracy all the time. Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions) Required technology expertise : Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models) Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages Strong Database Development knowledge using SQL and PL/SQL Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus) Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload. Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI) Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry Have at least 5+ Years EXP in Retail Industry and Customer Focus Business. Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly. Qualifications Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science Certified as DATA SCIENTIST or MACHINE LEARNING Expert.
Job description Position: Data Scientist Location: Bangalore Long Term Contract position Remote Till Covid Experience in applied data science, analytics, data storytelling. Write well documented code that can be shared and used across teams, and can scale to be used in existing products. SQL, Advanced Python or R (descriptive / predictive models), Tableau Visualization. Working knowledge of Hadoop, BigQuery, Presto, Vertica Apply your expertise in quantitative analysis, data mining, and the presentation of data to uncover unique actionable insights about customer service, health of public conversation and social media Inform, influence, support, and execute analysis that feeds into one of our many analytics domains - Customer analytics, product analytics, business operation analytics, cost analytics, media analytics, people analytics Select and deselect analytics priorities, insights and data based on ability to drive our desired outcomes Own the end to end process, from initiation to deployment, and through ongoing communication and collaboration, sharing of results to partners and leadership Mentor and create sense of community and learning environments for our global team of data analysts Soft skills: Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams Working knowledge of agile framework and processes. You should be comfortable managing work plans, timelines and milestones You have a sense of urgency, move quickly and ship things Bonus Points: You're experienced in metrics and experiment-driven development Experience in statistical methodology (multivariate, time-series, experimental design, data mining, etc.) Company Info Website: https://www.bygrad.in
Key skill set : Apache NiFi, Kafka Connect (Confluent), Sqoop, Kylo, Spark, Druid, Presto, RESTful services, Lambda / Kappa architectures Responsibilities : - Build a scalable, reliable, operable and performant big data platform for both streaming and batch analytics - Design and implement data aggregation, cleansing and transformation layers Skills : - Around 4+ years of hands-on experience designing and operating large data platforms - Experience in Big data Ingestion, Transformation and stream/batch processing technologies using Apache NiFi, Apache Kafka, Kafka Connect (Confluent), Sqoop, Spark, Storm, Hive etc; - Experience in designing and building streaming data platforms in Lambda, Kappa architectures - Should have working experience in one of NoSQL, OLAP data stores like Druid, Cassandra, Elasticsearch, Pinot etc; - Experience in one of data warehousing tools like RedShift, BigQuery, Azure SQL Data Warehouse - Exposure to other Data Ingestion, Data Lake and querying frameworks like Marmaray, Kylo, Drill, Presto - Experience in designing and consuming microservices - Exposure to security and governance tools like Apache Ranger, Apache Atlas - Any contributions to open source projects a plus - Experience in performance benchmarks will be a plus
The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain. At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain. Candidates will be expected to lead projects across several areas such as Demand forecasting Inventory management Simulation & Mathematical optimization models. Procurement analytics Distribution/Logistics planning Network planning and optimization Qualification and Experience 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain. Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain Hands-on experience in delivery of projects using statistical modelling Skills / Knowledge Hands on experience in statistical modelling software such as R/ Python and SQL. Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage. Highly proficient with Excel, PowerPoint and Word applications. APICS-CSCP or PMP certification will be added advantage Strong knowledge of supply chain management Working knowledge on the linear/nonlinear optimization Ability to structure problems through a data driven decision-making process. Excellent project management skills, including time and risk management and project structuring. Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis. Ability to liaison effectively with multiple stakeholders and functional disciplines. Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.
Hi Candidates, Greetings From Publicvibe !!! We are Hiring NLP Engineers/ Data scientists in between 0.6 to 2.5 Years of Experience for our Hyderabad location, if anyone looking out for opportunities or Job change, reach out to us. Regards, Dhaneesha Dominic.