Business Analyst
Work closely with Product Managers to drive product improvements through data driven decisions.
Conduct analysis to determine new project pilot settings, new features, user behaviour, and in-app behaviour.
Present insights and recommendations to leadership using high quality visualizations and concise messaging.
Own the implementation of data collection and tracking, and co-ordinate with engineering and product team.
Create and maintain dashboards for product and business teams.
Requirements
1+ years’ experience in analytics. Experience as Product analyst will be added advantage.
Technical skills: SQL, Advanced Excel
Good to have: R/Python, Dashboarding experience
Ability to translate structured and unstructured problems into analytical framework
Excellent analytical skills
Good communication & interpersonal skills
Ability to work in a fast-paced start-up environment, learn on the job and get things done.
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About Company
Our client is the worlds largest media investment company and a global digital transformation agency with 1200 employees across 21 nations. They support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels
About The Role
· Provide support on Campaign Measurement, Brand Lift studies, Reporting and other data needs (ingestion, cleaning, delivery etc.)
· Code in SQL, Python to create reports and build dashboards.
· Use Bigquery, Python, Datalab (GCP) and automate recurring workloads to improve efficiency
· Maintain underlying data infrastructure and troubleshoot data issues
· Generate meaningful insights from data using advanced analytics/statistical techniques and create dashboards and presentations for wider teams.
· Liaise closely with clients (internally and externally) on projects and work with key stakeholders to assess project needs and ensure best-in-class work is being delivered.
A bit about yourself
· 0-2 years of experience required
· Programming skills in SQL, Python/R
· Logical thinking and problem solving skills
· Strong communication skills (verbal & written)
· Adherence to quality & ability to plan & prioritize the work
· Passionate about data analysis, ability to troubleshoot data anomalies, pulling data from several sources, integrating it to create data layers
· Experience in applying big data, statistics, analytical techniques and technology to solve client problems will be plus
· Experience in creating dashboards, reports, presentations and finding insights, and strong business acumen to provide actionable strategic recommendations will be plus.
JOB TITLE - Product Development Engineer - Machine Learning
● Work Location: Hyderabad
● Full-time
Company Description
Phenom People is the leader in Talent Experience Marketing (TXM for short). We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TXM and to help solve their recruiting pain points.
Job Responsibilities:
- Design and implement machine learning, information extraction, probabilistic matching algorithms and models
- Research and develop innovative, scalable and dynamic solutions to hard problems
- Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head-on.
- Use the latest advances in NLP, data science and machine learning to enhance our products and create new experiences
- Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume
- Be a valued contributor in shaping the future of our products and services
- You will be part of our Data Science & Algorithms team and collaborate with product management and other team members
- Be part of a fast pace, fun-focused, agile team
Job Requirement:
- 4+ years of industry experience
- Ph.D./MS/B.Tech in computer science, information systems, or similar technical field
- Strong mathematics, statistics, and data analytics
- Solid coding and engineering skills preferably in Machine Learning (not mandatory)
- Proficient in Java, Python, and Scala
- Industry experience building and productionizing end-to-end systems
- Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning
- Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc.
Position Summary
We’re looking for a Machine Learning Engineer to join our team of Phenom. We are expecting the below points to full fill this role.
- Capable of building accurate machine learning models is the main goal of a machine learning engineer
- Linear Algebra, Applied Statistics and Probability
- Building Data Models
- Strong knowledge of NLP
- Good understanding of multithreaded and object-oriented software development
- Mathematics, Mathematics and Mathematics
- Collaborate with Data Engineers to prepare data models required for machine learning models
- Collaborate with other product team members to apply state-of-the-art Ai methods that include dialogue systems, natural language processing, information retrieval and recommendation systems
- Build large-scale software systems and numerical computation topics
- Use predictive analytics and data mining to solve complex problems and drive business decisions
- Should be able to design the accurate ML end-to-end architecture including the data flows, algorithm scalability, and applicability
- Tackle situations where problem is unknown and the Solution is unknown
- Solve analytical problems, and effectively communicate methodologies and results to the customers
- Adept at translating business needs into technical requirements and translating data into actionable insights
- Work closely with internal stakeholders such as business teams, product managers, engineering teams, and customer success teams.
Benefits
- Competitive salary for a startup
- Gain experience rapidly
- Work directly with the executive team
- Fast-paced work environment
About Phenom People
At PhenomPeople, we believe candidates (Job seekers) are consumers. That’s why we’re bringing e-commerce experience to the job search, with a view to convert candidates into applicants. The Intelligent Career Site™ platform delivers the most relevant and personalized job search yet, with a career site optimized for mobile and desktop interfaces designed to integrate with any ATS, tailored content selection like Glassdoor reviews, YouTube videos and LinkedIn connections based on candidate search habits and an integrated real-time recruiting analytics dashboard.
Use Company career sites to reach candidates and encourage them to convert. The Intelligent Career Site™ offers a single platform to serve candidates a modern e-commerce experience from anywhere on the globe and on any device.
We track every visitor that comes to the Company career site. Through fingerprinting technology, candidates are tracked from the first visit and served jobs and content based on their location, click-stream, behavior on site, browser and device to give each visitor the most relevant experience.
Like consumers, candidates research companies and read reviews before they apply for a job. Through our understanding of the candidate journey, we are able to personalize their experience and deliver relevant content from sources such as corporate career sites, Glassdoor, YouTube and LinkedIn.
We give you clear visibility into the Company's candidate pipeline. By tracking up to 450 data points, we build profiles for every career site visitor based on their site visit behavior, social footprint and any other relevant data available on the open web.
Gain a better understanding of Company’s recruiting spending and where candidates convert or drop off from Company’s career site. The real-time analytics dashboard offers companies actionable insights on optimizing source spending and the candidate experience.
Kindly explore about the company phenom (https://www.phenom.com/">https://www.phenom.com/)
Youtube - https://www.youtube.com/c/PhenomPeople">https://www.youtube.com/c/PhenomPeople
LinkedIn - https://www.linkedin.com/company/phenompeople/">https://www.linkedin.com/company/phenompeople/
https://www.phenom.com/">Phenom | Talent Experience Management
- 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
- Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- 5+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
Responsibilities
- Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
- Create custom Operators for Kubernetes, Kubeflow
- Develop data ingestion processes and ETLs
- Assist in dev ops operations
- Design and Implement APIs
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
BRIEF DESCRIPTION:
At-least 1 year of Python, Spark, SQL, data engineering experience
Primary Skillset: PySpark, Scala/Python/Spark, Azure Synapse, S3, RedShift/Snowflake
Relevant Experience: Legacy ETL job Migration to AWS Glue / Python & Spark combination
ROLE SCOPE:
Reverse engineer the existing/legacy ETL jobs
Create the workflow diagrams and review the logic diagrams with Tech Leads
Write equivalent logic in Python & Spark
Unit test the Glue jobs and certify the data loads before passing to system testing
Follow the best practices, enable appropriate audit & control mechanism
Analytically skillful, identify the root causes quickly and efficiently debug issues
Take ownership of the deliverables and support the deployments
REQUIREMENTS:
Create data pipelines for data integration into Cloud stacks eg. Azure Synapse
Code data processing jobs in Azure Synapse Analytics, Python, and Spark
Experience in dealing with structured, semi-structured, and unstructured data in batch and real-time environments.
Should be able to process .json, .parquet and .avro files
PREFERRED BACKGROUND:
Tier1/2 candidates from IIT/NIT/IIITs
However, relevant experience, learning attitude takes precedence
GCP Data Analyst profile must have below skills sets :
- Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
- Data cleansing, data visualization, data wrangling
- Data modeling , data warehouse concepts
- Adapt to Big data platform like Hadoop, Spark for stream & batch processing
- GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)
Skillsets-Azure, Olap, Etl, sql, python, c#
exp range - 3+ to 4 years
salary-best in industry
notice period - Currently serving notice period (Immediate joiners are preferred)
location- remote work
job type -permanent role
it is full time and totally remote based
Note: For the interview 3 rounds are there -technical round, manager/client round, hr round
- Python coding skills
- Scikit-learn, pandas, tensorflow/keras experience
- Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc
- Implementing Machine learning models and pushing it to production
- Creating docker images for ML models, REST API creation in Python
- Additional Skills Compulsory:
- Knowledge and professional experience of text and NLP related projects such as - text classification, text summarization, topic modeling etc
- Additional Skills Compulsory:
- Knowledge and professional experience of vision and deep learning for documents - CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc
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