Analytics Executive

Job Title

Data Analyst

 

Job Brief

The successful candidate will turn data into information, information into insight and insight into business decisions.

 

Data Analyst Job Duties

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

 

Responsibilities

● Interpret data, analyze results using statistical techniques and provide ongoing reports.

● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.

● Identify, analyze, and interpret trends orpatternsin complex data sets.

● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.

● Work withmanagementto prioritize business and information needs.

● Locate and define new processimprovement opportunities. 

 

Requirements

● Proven working experienceas aData Analyst or BusinessDataAnalyst.

● Technical expertise regarding data models, database design development, data mining and segmentation techniques.

● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).

● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).

● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

● Adept atqueries,reportwriting and presenting findings.

 

Job Location SouthDelhi, New Delhi 

4+ year experience in advanced analytics, model building, statistical modeling,
• Solid technical / data-mining skills and ability to work with large volumes of data; extract
and manipulate large datasets using common tools such as Python and SQL other
programming/scripting languages to translate data into business decisions/results
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and
strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed
analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance
and focus on high impact work
• Learns continuously; Seeks out knowledge, ideas and feedback.
• Looks for opportunities to build owns skills, knowledge and expertise.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG,
HIVE)
• Experience in risk and credit score domains preferred
• Comfortable with ambiguity and frequent context-switching in a fast-paced
environment

THE IDEAL CANDIDATE WILL

 

• Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
• Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
• Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
• Work hands-on across various MLOps problems and provide thought leadership
• Grow and manage large teams with diverse skillsets
• Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

 

 

 

ELIGIBILITY CRITERIA

 

• BE/BTech/MTech (Specialization/courses in ML/DS)
• At-least 7+ years of Consulting services delivery experience
• Very strong problem-solving skills & work ethics
• Possesses strong analytical/logical thinking, storyboarding and executive communication skills
• 5+ years of experience in Python/R, SQL
• 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
• Hands on work experience in DevOps
• Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
• Exposure on cloud technologies like Azure, AWS or GCP
• Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
• Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
• Experience with one or more Container-ecosystem (Docker, Kubernetes)
• Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
• Good understanding of OOP & Data Structures concepts

 

 

Nice to Have:

 

• Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
• Experience in Helm is a plus
• Strong understanding of data infrastructure, data warehouse, or data engineering

 

You can expect to –

• Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
• Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
• Work in a diverse environment that keeps evolving
• Hone your entrepreneurial skills as you contribute to growth of the organization

 

 

Roles and Responsibilities

● Working on an awesome AI product for the eCommerce domain.
● Build the next-generation information extraction, computer vision product powered
by state-of-the-art AI and Deep Learning techniques.
● Work with an international top-notch engineering team with full commitment to
Machine Learning development.

Desired Candidate Profile

● Passionate about search & AI technologies. Open to collaborating with colleagues &
external contributors.
● Good understanding of the mainstream deep learning models from multiple domains:
computer vision, NLP, reinforcement learning, model optimization, etc.
● Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet,
BERT. Able to implement the latest DL model using existing API, open-source libraries
in a short time.
● Hands-on experience with the Cloud-Native techniques. Good understanding of web
services and modern software technologies.
● Maintained/contributed machine learning projects, familiar with the agile software
development process, CICD workflow, ticket management, code-review, version
control, etc.
● Skilled in the following programming languages: Python 3.
● Good English skills especially for writing and reading documentation

About Us

upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19

• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-

  after startups in India

• upGrad was earlier selected as one of the top ten most innovative companies in India

  by FastCompany.

• We were also covered by the Financial Times along with other disruptors in Ed-Tech

• upGrad is the official education partner for Government of India - Startup India

  program

• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning

   

  Role Summary

  Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
  If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
  We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. 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, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
  Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.

  
  Roles & Responsibilities

  • • 3+ years of experience in analytics, data science, machine learning or comparable role
    • Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline 
    • Experience in building and deploying Machine Learning models in Production systems
    • Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
    • Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
    • Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders 
    • Comfortable dealing with ambiguity and competing objectives

     

    Skills Required

    • Experience in Text Analytics, Natural Language Processing

    • Advanced degree in Data Science/Data Analytics or Math/Statistics

    • Comfortable with data-visualization tools and techniques

    • Knowledge of AWS and Data Warehousing

    • Passion for building data-products for Production systems - a strong desire to impact

      the product through data-science technique

Responsibilities

• Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
• Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
• Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
• Manage backup and security of Data Integration Infrastructure.
• Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
• Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
• Develop and interpret organizational goals, policies, and procedures.
• Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
• Prepare and review operational reports or project progress reports.
• Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
• Work with vendors to manage support SLA’s and influence vendor product roadmap
• Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
• Work with cross functional operations teams such as systems, storage and network to design technology stacks.

 

Preferred Qualifications

• Minimum 6+ years’ experience as Informatica Engineer and Developer role
• Minimum of 5+ years’ experience in an ETL environment as a developer.
• Minimum of 5+ years of experience in SQL coding and understanding of databases
• Proficiency in Python
• Proficiency in command line troubleshooting
• Proficiency in writing code in Perl/Shell scripting languages
• Understanding of Java and concepts of Object-oriented programming
• Good understanding of systems, networking, and storage
• Strong knowledge of scalability and high availability

GREETINGS FROM CODEMANTRA !!!

 

EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!

 

Skills and Qualifications

 

*Strong Hands-on experience in Python Programming

*** Working experience with Computer Vision models - Object Detection Model, Image Classification

* Good experience in feature extraction, feature selection techniques and transfer learning

* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.

* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.

* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.

* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.

* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model

 

Regards

Ranjith PR

Looking for Alternative Data Programmer for equity fund
The programmer should be proficient in python and should be able to work totally independently. Should also have skill to work with databases and have strong capability to understand how to fetch data from various sources, organise the data and identify useful information through efficient code.
Familiarity with Python 
Some examples of work: 

WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratize machine learning algorithms for our customers and help them realize dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Junior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities: - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences: - Bachelors or Masters in a quantitative field from a top tier college - 1-2 years experience in a data science / analytics role in a technology / analytics company - Solid mathematical background (especially in linear algebra & probability theory) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the following: (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences