Big Data Engineer

RESPONSIBILITIES:

 Requirement understanding and elicitation, analyze, data/workflows, contribute to product

project and Proof of concept (POC)

 Contribute to prepare design documents and effort estimations.

 Develop AI/ML Models using best in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and clearly documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

REQUIREMENTS:

Required Skills

 Overall experience of 4 to 7 Years working on AI/ML framework development

 Good programming knowledge in Python is must.

 Good Knowledge of R and SAS is desired.

 Good hands on and working knowledge SQL, Data Model, CRISP-DM.

 Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.

 Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,

Random Forest, Support Vector Machines and Natural Language Processing.

 Experience with NLP and deep neural networks using synthetic and artificial data.

 Involved in different phases of SDLC and have good working exposure on different SLDC’s like

Agile Methodologies.

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

• Lead a team of data scientists, machine learning engineers and big data specialists
• Be the main point of contact for the customers
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

Requirements (please read carefully)

• Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
• Msc-Statistics/ Phd.Statistics
• Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
• Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
• Proven experience as a Data Scientist or similar role, for about 7-8 years
• Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
• Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
• Knowledge of data management and visualization techniques --- more from a Data Science perspective.
• Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
• Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

 http://www.altimetrik.com/">http://www.altimetrik.com

https://www.youtube.com/watch?v=3nUs4YxppNE&;feature=emb_rel_end">https://www.youtube.com/watch?v=3nUs4YxppNE&;feature=emb_rel_end

https://www.youtube.com/watch?v=e40r6kJdC8c">https://www.youtube.com/watch?v=e40r6kJdC8c

Required Skill Set-

Project experience in any of the following - Data Management,

Database Development, Data Migration or Data Warehousing.

• Expertise in SQL, PL/SQL.

Role and Responsibilities -

• Work on a complex data management program for multi-billion dollar

customer

• Work on customer projects related to data migration, data

integration

•No Troubleshooting

• Execution of data pipelines, perform QA, project documentation for

project deliverables

• Perform data profiling, data cleansing, data analysis for migration

data

• Participate and contribute in project meeting

• Experience in data manipulation using Python preferred

• Proficient in using Excel, PowerPoint

 -Perform other tasks as per project requirements.

Job Description

Function: Product → Product Analytics

Responsibilities:

• Assist product managers in the formulation of the company's product strategy using structured data and insights derived from the same
• Conduct research, create business cases and translate them into meaningful problems to solve
• Measure impact of experiments related to function, analysing and helping in course correction.
• Recommending product improvements based on analytical findings. Defining new metrics, techniques, and strategies to improve performance.
• Constantly monitor and analyse metrics identified, publish insights/any anomalies along with hypothesis
• Translating business requirements and user requests into effective report and dashboard designs in challenging deadlines.
• Assist with performance tuning of dashboards, background data queries as needed

Key Skills Required:

• Bachelor’s degree along with 2+ years experience in product analytics building data sets, reports, and dashboards
• Strong analytics skills and experience in Metabase, Google Analytics, Power BI, or other analytics software
• Proficiency with SQL
• Agile ability to anticipate need, be responsive and adapt to change
• Strong interpersonal and relationship skills, ability to influence decisions and gain consensus
• Excellent time and project management skills, ability to prioritise the most important projects to create business impact

Perks at Oneistox:

• Challenging work, High Product Ownership, and Steep Learning Curve are guaranteed!
• You get to be part of a highly young and energetic team.
• Envisage the growth of a company from 5X to 500X.
• Industry standard compensation and ESOPS.

This profile will include the following responsibilities:

- Develop Parsers for XML and JSON Data sources/feeds

- Write Automation Scripts for product development

- Build API Integrations for 3^rd Party product integration

- Perform Data Analysis

- Research on Machine learning algorithms

- Understand AWS cloud architecture and work with 3 party vendors for deployments

• Actively engage with internal business teams to understand their challenges and deliver robust, data-driven solutions.
• Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.
• Be encouraged and expected to innovate and be creative in your data analysis, problem-solving, and presentation of solutions.
• Network and collaborate with a broad range of internal business units to define and deliver joint solutions.
• Work alongside customers to leverage cutting-edge technology (machine learning, streaming analytics, and ‘real’ big data) to creatively solve problems and disrupt existing business models.

In this role, we are looking for:

• A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
• The unique person who can present complex mathematical solutions in a simple manner that most will understand, including customers.
• An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
• A team mentality, empowered by the ability to work with a diverse set of individuals.

• A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics.
• 5+ Years professional experience in a data scientist/analyst role or similar.
• Proficiency in your statistics/analytics/visualization tool of choice, but preferably in the Microsoft Azure Suite, including Azure ML Studio and PowerBI as well as R, Python, SQL.

• Excellent communication, organizational transformation, and leadership skills
• Demonstrated excellence in Data Science, Business Analytics and Engineering

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.

What's the role?

Your role as a Principal Engineer will involve working with various team. As a principal engineer, will need full knowledge of the software development lifecycle and Agile methodologies. You will demonstrate multi-tasking skills under tight deadlines and constraints. You will regularly contribute to the development of work products (including analyzing, designing, programming, debugging, and documenting software) and may work with customers to resolve challenges and respond to suggestions for improvements and enhancements. You will setup the standard and principal for the product he/she drives.

• Setup coding practice, guidelines & quality of the software delivered.
• Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
• Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Prepares and installs solutions by determining and designing system specifications, standards, and programming.
• Improves operations by conducting systems analysis; recommending changes in policies and procedures.
• Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations.
• Protects operations by keeping information confidential.
• Develops software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle. Who are you? You are a go-getter, with an eye for detail, strong problem-solving and debugging skills, and having a degree in BE/MCA/M.E./ M Tech degree or equivalent degree from reputed college/university.

Essential Skills / Experience:

• 10+ years of engineering experience
• Experience in designing and developing high volume web-services using API protocols and data formats
• Proficient in API modelling languages and annotation
• Proficient in Java programming
• Experience with Scala programming
• Experience with ETL systems
• Experience with Agile methodologies
• Experience with Cloud service & storage
• Proficient in Unix/Linux operating systems
• Excellent oral and written communication skills Preferred:
• Functional programming languages (Scala, etc)
• Scripting languages (bash, Perl, Python, etc)
• Amazon Web Services (Redshift, ECS etc)