Work Timing: 5 Days A Week
Responsibilities include:
• Ensure right stakeholders gets right information at right time
• Requirement gathering with stakeholders to understand their data requirement
• Creating and deploying reports
• Participate actively in datamarts design discussions
• Work on both RDBMS as well as Big Data for designing BI Solutions
• Write code (queries/procedures) in SQL / Hive / Drill that is both functional and elegant,
following appropriate design patterns
• Design and plan BI solutions to automate regular reporting
• Debugging, monitoring and troubleshooting BI solutions
• Creating and deploying datamarts
• Writing relational and multidimensional database queries
• Integrate heterogeneous data sources into BI solutions
• Ensure Data Integrity of data flowing from heterogeneous data sources into BI solutions.
Minimum Job Qualifications:
• BE/B.Tech in Computer Science/IT from Top Colleges
• 1-5 years of experience in Datawarehousing and SQL
• Excellent Analytical Knowledge
• Excellent technical as well as communication skills
• Attention to even the smallest detail is mandatory
• Knowledge of SQL query writing and performance tuning
• Knowledge of Big Data technologies like Apache Hadoop, Apache Hive, Apache Drill
• Knowledge of fundamentals of Business Intelligence
• In-depth knowledge of RDBMS systems, Datawarehousing and Datamarts
• Smart, motivated and team oriented
Desirable Requirements
• Sound knowledge of software development in Programming (preferably Java )
• Knowledge of the software development lifecycle (SDLC) and models
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Company Overview:
At Porter, we are passionate about improving productivity. We want to help businesses, large and small, optimize their last-mile operations and empower them to unleash the growth of their core functions. Last mile delivery logistics is one of the biggest and fastest growing sectors of the economy with a market cap upwards of 50 billion USD and a growth rate exceeding 15% CAGR.
Porter is the fastest growing leader in this sector with operations in 14 major cities, a fleet size exceeding 1L registered and 50k active driver partners and a customer base with 3.5M being monthly active. Our industry-best technology platform has raised over 50 million USD from investors including Sequoia Capital, Kae Capital, Mahindra group and LGT Aspada.
We are addressing a massive problem and going after a huge market. We’re trying to create a household name in transportation and our ambition is to disrupt all facets of last mile logistics including warehousing and LTL transportation. At Porter, we’re here to do the best work of our lives.
If you want to do the same and love the challenges and opportunities of a fast paced work environment, then we believe Porter is the right place for you.
Company URL: https://porter.in/
Responsibilities
- This role requires a person to support & drive business charters & accompanying products by aligning with business & product stakeholders and building & nurturing a team to aid in this. Responsibilities include
Business and product alignment | Analytics scoping and planning
- Understand and align business and product initiatives working with stakeholders.
- Help shape business / product requirements formulation into analytics / data scope.
- Formalize requirements into roadmaps and iterations - accounting for dependencies.
Project Management
- Drive project execution using effective prioritization and resource allocation.
- Resolve blockers through technical expertise, negotiation, and delegation.
- Strive for completeness of solution through stand-ups and course-correction.
KPIs and metrics
- Drive business-level KPIs
- Ensure all initiatives and product features resonate with and amplify those KPIs.
- Responsible for high-level design and data architecture impacting performance.
- Envision data APIs and set up proper ownership structures.
Team Management
- Manage a team of 5-8 members and a portfolio of 1-2 business charters.
- Do regular one-on-ones with reportees to ensure resource welfare.
- Periodic assessment and actionable feedback for progress.
- Recruit new members with a view to long-term resource planning through effective collaboration
with the hiring team.
Process design
- Formulate SLA benchmarks and set up processes to ensure on-time ad-hoc requests resolution + issues tracking + solving for inefficiencies and effort duplication.
- Establish good code review practices - using this as a nurturing tool.
- Set up communication channels (blog / newsletter) and feedback loops for knowledge sharing and stakeholder management.
- Explore the latest best practices and tools for constant upskilling.
Analytics Stack
- Analytics : Python / R / SQL + Excel / PPT, Colab notebooks
- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike
- Warehouse : Amazon Redshift
- ETL : Lots of Python + custom-made
- Business Intelligence / Visualization : Metabase + Python/R libraries (location data) + Dash
- Deployment pipeline : Docker, Jenkins, AWS Lambda
- Collaboration : Git, Dropbox Paper
Qualification Prerequisites
- Analytics experience of minimum 7 years
- Experience managing an Analytics team of at least 4 people end-to-end
- Exposure to consumer facing products (product org experience preferred)
- Strong technical background and ability to contribute to design and review
- Familiarity with our current or a similar analytics stack
DATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience
Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.
Location:Chennai
Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI
Requirements:
· To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies
· Design and develop AI//ML models to be deployed across SG factories
· Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
· Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
· Prior experience in developing AI and ML models is required
· Experience with data from the Manufacturing Industry would be a plus
Roles and Responsibilities:
· Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
· Multitasking, good communication necessary
· Entrepreneurial attitude.
- Good experience on Power BI Visualizations, DAX queries in Power BI
- Experience in implementing Row Level Security
- Can understand data models, can implement simple-medium data models
- Quick learner to pick up the Application data design and processe
- Expert in SQL, Analyze current ETL/SSIS process
- Hands on experience in data modeling
- Quick learner to pick up the Application data design and processes
- Data warehouse development and work with SSIS & SSAS (Good to have)
Job Description – Sr. Data Scientist
Credgenics is India’s first of it's kind NPA resolution platform backed by credible investors including Accel Partners and Titan Capital. We work with financial institutions, Banks, NBFCs & Digital lending firms to improve their collections efficiency using technology, automation intelligence and optimal legal routes in order to facilitate the resolution of stressed assets. With all major banks and NBFCs as our clients, our SaaS based collections platform helps them efficiently improve their NPA, geographic reach and customer experience.
About the Role:
We are looking for a highly-skilled, experienced, and passionate Sr. Data Scientist who can come on-board and help create and build a robust, scalable, and extendable platform to power the mission to reduce the exponentially growing Non Performing Assets in the Indian Economy by harnessing the power of technology and data driven analytics. Our focus is to provide deep insights that improve collection efficiency across delinquent portfolios of ARCs, Banks & NBFCs.
The ideal candidate would be someone who has worked in a data science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, have built platforms from scratch and have a track record of developing and deploying data-science models into live applications.
Responsibilities:
- Work with the CTO to build the roadmap of data science function and set up the best practices
- Collaborate with and influence leadership to ensure data science directly impacts strategy
- Drive an organizational effort toward a better understanding of user needs and pain points, and propose solutions that data science can provide to further this goal
- Build and deploy Machine Learning models in production systems
- Building platforms from scratch to solve image recognition and context understanding problems, and also improving search
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
- Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
- Develop comprehensive knowledge of data structures and metrics, advocating for changes, where needed for product development
- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information
- Research and develop analysis, forecasting, and optimization methods to improve the product quality
- Build and prototype analysis pipelines iteratively to provide insights at scale
- Building/maintaining of reports, dashboards, and metrics to monitor the performance of our products
- Develop deep partnerships with engineering and product teams to deliver on major cross-functional measurements, testing, and modelling
Requirements and Qualifications:
- Bachelor's or Master's degree in a technology-related field from a premier college
- Prior 5+ years of experience of leading data science team in a start-up environment
- Experience working on unstructured data is a plus
- Deep knowledge of designing, planning, testing, and deploying analytical solutions
- Implementing advanced AI solutions using at least one scripting language (e.g. Python, R)
- Customer oriented, responsive to changes, and able to multi-task in a fast-paced environment
Location:
This role will be based out of New Delhi
We offer an innovative, fast paced, and entrepreneurial work environment where you’ll be at the centre of leading change by leveraging technology and creating boundless impact in the FinTech ecosystem.
- We are looking for a Data Engineer with 3-5 years experience in Python, SQL, AWS (EC2, S3, Elastic Beanstalk, API Gateway), and Java.
- The applicant must be able to perform Data Mapping (data type conversion, schema harmonization) using Python, SQL, and Java.
- The applicant must be familiar with and have programmed ETL interfaces (OAUTH, REST API, ODBC) using the same languages.
- The company is looking for someone who shows an eagerness to learn and who asks concise questions when communicating with teammates.
eCommerce Manager - Business Intelligence
at Spice Village Online Grocery Store in Germany
Job Responsibilities
- Drive growth strategies for our online eCommerce shop across all channels (own store, Amazon, eBay, etc.).
- Optimize customer journey with the help of product owner and project manager
- Optimize conversion funnel across all channels and sources. Create detailed maps of customer journey and analyze the funnels to increase conversions.
- Be responsible for overall online marketing REPORTING, channel attribution, analyzing marketing effectiveness (CPL, CAC, CLV/CAC, ROI, CLTV) and assist in creating presentations for key stakeholders, leadership and invertors.
- Develop and implement acquisition and customer retentions strategies (think customer first) in collaboration with Creative, CRM, Social Media, SEO, etc.
- Partner closely with all teams to create a customer-first approach while communicating the brand message clearly.
-
Minimum 3 years experience in High Growth E-Commerce company or agency
-
A proven marketer who understands and has worked in a high functioning, high revenue eCommerce brand.
-
Deep understanding of A/B testing, experimentation and eCommerce analysis
-
An expert in analyzing data and creating reports
Senior Data Scientist
at One of the leading banks with a global presence.
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.
Objectives of this Role:
• Design, and develop creative and innovative frameworks/components for data platforms, as we continue to experience dramatic growth in the usage and visibility of our products
• work closely with data scientist and product owners to come up with better design/development approach for application and platform to scale and serve the needs.
• Examine existing systems, identifying flaws and creating solutions to improve service uptime and time-to-resolve through monitoring and automated remediation
• Plan and execute full software development life cycles (SDLC) for each assigned project, adhering to company standards and expectations Daily and Monthly Responsibilities:
• Design and build tools/frameworks/scripts to automate development, testing deployment, management and monitoring of the company’s 24x7 services and products
• Plan and scale distributed software and applications, applying synchronous and asynchronous design patterns, write code, and deliver with urgency and quality
• Collaborate with global team, producing project work plans and analyzing the efficiency and feasibility of project operations,
• manage large volume of data and process them on Realtime and batch orientation as needed.
• while leveraging global technology stack and making localized improvements Track, document, and maintain software system functionality—both internally and externally, leveraging opportunities to improve engineering productivity
• Code review, Git operation, CI-CD, Mentor and assign task to junior team members
Responsibilities:
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection
• Integration of data storage solutions
Skills and Qualifications
• Bachelor’s degree in software engineering or information technology
• 5-7 years’ experience engineering software and networking platforms
• 5+ years professional experience with Python or Java or Scala.
• Strong experience in API development and API integration.
• proven knowledge on data migration, platform migration, CI-CD process, orchestration workflows like Airflow or Luigi or Azkaban etc.
• Experience with data engineering tools and platforms such as Kafka, Spark, Databricks, Hadoop, No-SQl platform
• Prior experience in Datawarehouse and OLAP design and deployment.
• Proven ability to document design processes, including development, tests, analytics, and troubleshooting
• Experience with rapid development cycles in a web-based/Multi Cloud environment
• Strong scripting and test automation abilities Good to have Qualifications
• Working knowledge of relational databases as well as ORM and SQL technologies
• Proficiency with Multi OS env, Docker and Kubernetes
• Proven experience designing interactive applications and largescale platforms
• Desire to continue to grow professional capabilities with ongoing training and educational opportunities.
Analytics Scientist - Risk Analytics
at market-leading fintech company dedicated to providing credit