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- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Roles & Responsibilities
- Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
- Has a Bachelor's, Master's in Computer Science or another quantitative field
- Knowledge and experience in statistical and data mining techniques :
- GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
- Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Capabilities & Insights Analyst
at Top Managment Consulting Firm
Company Profile:
The company is World's No1 Global management consulting firm.
Job Qualifications
Graduate or post graduate degree in statistics, economics, econometrics, computer science,
engineering, or mathematics
2-5 years of relevant experience
Adept in forecasting, regression analysis and segmentation work
Understanding of modeling techniques, specifically logistic regression, linear regression, cluster
analysis, CHAID, etc.
Statistical programming software experience in R & Python, comfortable working with large data
sets; SAS & SQL are also preferred
Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify
root causes and recommend solutions
Excellent time management skills
Good written and verbal communication skills; understanding of both written and spoken English
Strong interpersonal skills
Ability to act autonomously, bringing structure and organization to work
Creative and action-oriented mindset
Ability to interact in a fluid, demanding and unstructured environment where priorities evolve
constantly and methodologies are regularly challenged
Ability to work under pressure and deliver on tight deadlines
Basic Qualifications
- Need to have a working knowledge of AWS Redshift.
- Minimum 1 year of designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.
- 3 years of hands-on experience with building productized data ingestion and processing pipelines using Spark, Scala, Python
- 2 years of hands-on experience designing and implementing production-grade data warehousing solutions
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
- Excellent presentation and communication skills, both written and verbal
- Ability to problem-solve and architect in an environment with unclear requirements
Job Location: Chennai
Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery
•
Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
Machine Learning Engineer at Zocket
We are looking for a curious Machine Learning Engineer to join our extremely fast growing Tech Team at Zocket!
About Zocket:
Zocket helps businesses create digital ads in less than 30 seconds and grow digitally without any expertise.
Currently there are only two options for an SMB owner, either employ a digital marketing agency or stay away from digital ads. True to the mission, Zocket leverages AI to simplify digital marketing for 300 million+ small businesses around the globe.
You are ideal if you have:
- Interest in working with a fast growing Start Up
- Strong communication and Presentation skills
- Ability to meet deadlines
- Critical thinking Abilities
- Interest in working in a high paced environment
- Desire for Lots and lots of learning
- Inclination towards working on diverse projects and to make real contributions to the company
Requirements:
- Bachelor's Degree in Computer Science or any quantitative discipline (Statistics, Mathematics, Economics)
- 3+ Years of relevant experience
- Experience working with languages like Python(mandatory) and R
- Experience working with Visualisation tools like Tableau, PowerBI.
- Experience working in Frameworks such as OpenCV, PyTorch ,Tensorflow
- Prior experience in building and deploying ML systems using AWS(EC2, Sagemaker)
- Understanding of statistical concepts
- Hands-on Computer Vision experience
- Experience in MySQL is required
- Cookie points if you have expertise with NLP
Apply Away!
- Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
- Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand and implement machine learning algorithms.
- Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models.
- Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders.
- Mentor junior team members
Who we have in mind:
- Graduate in Computer Science or related field, or equivalent practical experience.
- 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
- Proficiency with SQL, Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
- Familiarity with deep learning frameworks such as TensorFlow or Keras
- Experience with Computer Vision (OpenCV), NLP frameworks (NLTK, SpaCY, BERT).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Strong hands-on knowledge of data query and data processing tools (i.e. SQL)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience building applications on cloud (AWS or Azure)
- Experience working in scrum teams with Agile tools like JIRA
- Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users
About the role
- Collaborating with a team of like-minded and experienced engineers for Tier 1 customers, you will focus on data engineering on large complex data projects. Your work will have an impact on platforms that handle crores of customers and millions of transactions daily.
- As an engineer, you will use the latest cloud services to design and develop reusable core components and frameworks to modernise data integrations in a cloud first world and own those integrations end to end working closely with business units. You will design and build for efficiency, reliability, security and scalability. As a consultant, you will help drive a data engineering culture and advocate best practices.
Mandatory experience
- 1-6 years of relevant experience
- Strong SQL skills and data literacy
- Hands-on experience designing and developing data integrations, either in ETL tools, cloud native tools or in custom software
- Proficiency in scripting and automation (e.g. PowerShell, Bash, Python)
- Experience in an enterprise data environment
- Strong communication skills
Desirable experience
- Ability to work on data architecture, data models, data migration, integration and pipelines
- Ability to work on data platform modernisation from on-premise to cloud-native
- Proficiency in data security best practices
- Stakeholder management experience
- Positive attitude with the flexibility and ability to adapt to an ever-changing technology landscape
- Desire to gain breadth and depth of technologies to support customer's vision and project objectives
What to expect if you join Servian?
- Learning & Development: We invest heavily in our consultants and offer internal training weekly (both technical and non-technical alike!) and abide by a ‘You Pass We Pay” policy.
- Career progression: We take a longer term view of every hire. We have a flat org structure and promote from within. Every hire is developed as a future leader and client adviser.
- Variety of projects: As a consultant, you will have the opportunity to work across multiple projects across our client base significantly increasing your skills and exposure in the industry.
- Great culture: Working on the latest Apple MacBook pro in our custom designed offices in the heart of leafy Jayanagar, we provide a peaceful and productive work environment close to shops, parks and metro station.
- Professional development: We invest heavily in professional development both technically, through training and guided certification pathways, and in consulting, through workshops in client engagement and communication. Growth in our organisation happens from the growth of our people.
Responsibilities
-
Work closely with Client to understand business needs and convert them into technical solutions
-
Architect and design end-to-end analytical solutions from data ingestion to deployment
-
Hands-on work with the team
-
Lead delivery of analytical projects acting as senior or lead data scientist
-
Design and develop data engineering pipelines
-
Develop analytical models
-
Review/test models created by other team members
-
Coordinate technical delivery of data engineering and data science tasks
-
Present results to business stakeholders
-
Requirements
- B.Tech in CS or equivalent technical realted discipline
- Demonstrated history of leading teams to deliver projects on time
-
3+ years Experience working as a Data Scientist
-
Strong programming skills in at least two of analytical frameworks R, Python (pandas, nltk, scipy), Spark (Scala, PySpark, SparkR)
-
Strong SQL skills
-
Experience with Exploratory Data Analysis
-
Broad knowledge of statistics and Machine Learning topics (clustering, forecasting, classification, anomaly detection, NLP, NN, Deep Learning)
-
Experience with Cloud (Azure/AWS/Google)
Nice to have
- M.Tech in CS preferred
-
Experience with Big Data
-
MLOps experience (MlFlow, Kubeflow)
Why work with us
Life at Censius, like a lot of startups, can sometimes feel like a roller coaster. You will get a chance to work with modern AI technologies with some of the smartest and most passionate people. Join us to accelerate your learning, and make a lasting impact.
Perks
Competitive salary, health insurance, streaming service reimbursement (like Netflix), online courses, free books, and more!
The Company
We are a young, fast-growing AI company shaking up how work gets done across the enterprise. Every day, we help clients identify opportunities for automation, and then use a variety of AI and advanced automation techniques to rapidly model manual work in the form of code. Our impact has already been felt across some of the most reputable Fortune 500 companies, who are consequently seeing major gains in efficiency, client satisfaction, and overall savings. It’s an exciting experience to watch companies transform themselves rapidly with Soroco!
Based across US, UK, and India, our team includes several PhDs and graduates from top-notch universities such as MIT, Harvard, Carnegie Mellon, Dartmouth, and top rankers/medalists from the IITs and NITs. The senior leadership includes a former founder of a VC/hedge fund, a computer scientist from Harvard, and a former founder of a successful digital media firm. Our team has collectively published more than 100 papers in international journals and conferences and been granted over 20 patents. Our board members include some of the most well-known entrepreneurs across the globe, and our early clients include some of the most innovative Fortune 100 companies.
The Role
As an individual contributor role, Business Analyst (BA) will work closely with Data Science Manager in India. BAs will be primarily responsible for analyzing improvement opportunities with business process, people productivity, application usage experience and other advanced analytics projects using Soroco scout platform collected data, for clients from diverse industry.
Responsibilities include (but are not limited to):
- Understanding project objectives and frame analytics approach to provide the solution.
- Take ownership in extracting, cleansing, structuring & analyzing data
- Analyze data using statistical or rule-based techniques to identify actionable insights.
- Prepare PowerPoint presentation/build visualization solutions for presenting the analysis & actionable insights to client.
- Brainstorm and perform root cause analysis to provide suggestions to improve scout platform.
- Work closely with product managers to build analytical features in the product.
- Manage multiple projects simultaneously, in a fast-paced setting
- Communicate effectively with client engagement, product, and engineering teams
The Candidate
An ideal BA should be passionate and entrepreneurial in nature, with a flexible attitude to learn anything and a willingness to provide the highest level of professional service.
- 2-4 years of analytics work experience with a University degree in Engineering, preferably from Tier-1 or Tier-2 colleges.
- Possess the skill to creatively solve analytical problems and propose solutions.
- Ability to perform data manipulation and data modeling with complex data using SQL/Python
- Knowledge of statistics and experience using statistical packages for analyzing datasets (R/Python)
- Proficiency in Microsoft Office Excel and PowerPoint.
- Impeccable attention to detail with excellent prioritization skills
- Effective verbal, written and interpersonal communication skills.
- Must be a team player and able to build strong working relationships with stakeholders
- Strong capabilities and experience with programming in Python (Numpy & Pandas)
Bonus Skills:
- Knowledge of machine learning techniques (clustering, classification, and sequencing, among others)
- Experience with visualization tools like Tableau, PowerBI, Qlik.
How You Will Grow:
Soroco believes in supporting you and your career. We will encourage you to grow by providing you with professional development opportunities across multiple business functions. Joining a young company will allow you to explore what is possible and have a high impact
Required skill
- Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
- Extensive experience in designing large scale machine learning solution for the ML use case, large scale deployments and establishing continues automated improvement / retraining framework.
- Strong experience in Python and Java is required.
- Hands on experience on Scikit-learn, Pandas, NLTK
- Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
- Experience in Regression, Clustering, classification algorithms
- Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
- Experience in AutoML like TPOT or other
- Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch
- Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
- Understanding of Financial domain is desirable skill
Responsibilities
- Design and implementation of solutions for ML Use cases
- Productionize System and Maintain those
- Lead and implement data acquisition process for ML work
- Learn new methods and model quickly and utilize those in solving use cases
