Sr. Data Scientist

Experience Level: Minimum 5 years

About Pace

Started in 1995 by first-generation entrepreneurs from IIMA & FMS Delhi, PACE has evolved from a fledgling NSE Broker to a premier boutique financial conglomerate over the last 25 years. Headquartered in New Delhi, we maintain offices at more than 300 locations in more than 75 cities across India, and our customer base is spread over 34 countries. We have also been consistently nominated as one of the best Investment Advisors in India by ICRA & CNBC. At PACE we are continuously innovating and building highly scalable backend systems and strategies that give a seamless experience to our customers. We are aggressively pursuing Fintech innovation now and working on the ambitious and potentially disruptive Fintech product ‘Pocketful’—a one-of-a-kind stock-broking platform.

About Pocketful (Fintech Division of Pace)

Founded by IIM-Ahmedabad, Yale, and Columbia alumni, Pocketful is a new-age Fintech broking platform, aimed at making financial markets accessible for all. We're constantly innovating and working on a disruptive platform. The team is highly skilled, young, and extremely hungry and we are looking for folks who fit this persona. We are backed by one of India's leading stock brokers Pace Stock Broking Services.

Overview:

• We are seeking an experienced Engineering Manager or Tech Lead to join our dynamic team in the fintech industry, focusing on stockbroking solutions. The ideal candidate will have a strong technical background and leadership experience, with proficiency in our tech stacks: React.js, Flutter, Golang, and MongoDB.
• Responsibilities:
• Lead and manage a team of engineers, providing guidance and mentorship.
• Oversee the design, development, and deployment of high-quality software solutions.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Ensure best practices in coding, architecture, and security are followed.

Requirements:

• Proven experience as an Engineering Manager or Tech Lead.
• Strong technical expertise in React.js, Flutter, Golang, and MongoDB.
• Excellent leadership and communication skills.
• Experience in the fintech industry, particularly in stockbroking, is a plus.
• Ability to work in a fast-paced, agile environment.

Qualifications:

• Minimum of 5+ years of experience in a technical management role.
• Bachelor's degree in Technology
• Strong project management skills, including the ability to prioritize and manage multiple tasks simultaneously.
• Excellent leadership and communication skills.
• Problem-solving and decision-making abilities.
• Results-oriented with a focus on delivering high-quality solutions.

Other details

Expected CTC: Depending on Experience & Skills

In-Person based out of Okhla, New Delhi

Culture

We’re still early-stage and we believe that the culture is an ever-evolving process. Help build the kind of culture you want in the organization. Best ideas come from collaboration and we firmly believe in that. We have a flat hierarchy, flexible with timings and we believe in continuous learning and adapting to changing needs. We want to scale fast but sustainably, keeping everyone’s growth in mind. We aim to make this job your last job.

LogiNext is looking for a technically savvy and passionate Junior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 0 to 1 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Knowledge using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind

Requirement

• Strong knowledge of Php frameworks (Laravel, Zend must).

• Strong knowledge of front-end technologies, such as react js or Vue js.

• Knowledge of Object-Oriented Programming.

• Write effective APIs.

• Write technical documentation.

• Familiarity with SQL/No SQL databases.

• Understanding of code versioning tools like Github.

• Take full responsibility for task/project execution

• Good problem-solving skills, Data structures, and Algorithms.

• Should have experience in Webservices (SOAP/REST) and JSON

• Develop and deploy new features to facilitate related procedures and tools if necessary.

• Excellent communication and teamwork skills.

• Work with us as a team leader.

Skills: 

Strong knowledge of MYSQL/PostGreSQL; Knowledge of MongoDB, Redis, Couch DB is preferred. 

Expertise in application development, databases, version control, and deployment. Skill - Node.js, 

Experience of AWS or GCP - especially services such as Lambda or google app engine 

Solid grasp of Service-oriented architecture. Web Services implementation on a medium to large scale 

Solid understanding of scaling mobile app services. Having worked the backend of an Android app is preferred 

Culture: 

Ability to work independently with minimal supervision 

Happy to deal with, and contribute to, an environment of daily builds Has worked in small teams, is versatile. Work within short timelines and be receptive to business needs. Can work closely with Digital, Product, Operations teams. 

Desirable Social Attributes: 

Has contributed to one or more Open Source projects through own initiative. Has provided a high quality answer to a question posted on StackOverflow. 

Role: 

As a Software Developer who would work independently, the candidate is expected actively acquire problems and deliver solutions as well as guide the team technically. Such a problem solver would obviously be a self starter with a high level of curiosity rather than a programming language specialist. 

He/she would be required to produce software of the highest quality through self-discipline, clear and engaged communication, and attention to detail. The role would include custom web application development on (most typically on Node.js and PHP/Python), databases (most typically MySql and MongoDb), version control (github), testing (necessarily through test scripts written before code is written), daily builds and eventual deployment onto AWS or GCP. 

Attributes of the ideal candidate: 

Highly productive software developer with the proven aptitude to understand and apply technology 

Determination to succeed despite obstacles and challenges, and a positive attitude favoring achievement of goals over open-ended investigation 

Always learning, evolving, and sharing what you know 

Inspired by complex, varied problems and rapid change 

Open-minded, flexible, and curious about new and better ideas

Job Description:

We are looking for a Big Data Engineer who have worked across the entire ETL stack. Someone who has ingested data in a batch and live stream format, transformed large volumes of daily and built Data-warehouse to store the transformed data and has integrated different visualization dashboards and applications with the data stores.    The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

Responsibilities:

• Develop, test, and implement data solutions based on functional / non-functional business requirements.
• You would be required to code in Scala and PySpark daily on Cloud as well as on-prem infrastructure
• Build Data Models to store the data in a most optimized manner
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Implementing the ETL process and optimal data pipeline architecture
• Monitoring performance and advising any necessary infrastructure changes.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Proactively identify potential production issues and recommend and implement solutions
• Must be able to write quality code and build secure, highly available systems.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Review peer-codes and pipelines before deploying to Production for optimization issues and code standards

Skill Sets:

• Good understanding of optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable data size (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of data from multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Creation of DAGs for data engineering
• Expert at Python /Scala programming, especially for data engineering/ ETL purposes

Exceed your potential… come join us!

Edubridge is hiring for Java full stack trainer| | Remote/WFH |Full time.

Job description :

• 2+ years of experience in imparting technical training/ mentoring  
• Must have very strong concepts of Software development process
• Must have hands-on and training experience on Core Java 8, Advanced Java,  Java Script, HTML, CSS, Web Architecture, Database Storage, HTTP & Rest, C# & C++, any backend language like Python
• Should have knowledge on Spring, Spring Boot and Hibernate
• Should have knowledge on Angular, Bootstrap
• Should be good in Operating systems GNU/Linux, Network fundamentals,        
• Must have knowledge on MS office (Excel/ Word/ PowerPoint)
• Must have knowledge on NetBeans/ Eclipse or any other IDE.
• Should have knowledge on any of the Unit Testing tools.                        
• Self-Motivated and passionate about technology                                      
• Excellent analytical and logical skills and team player                               
• Must have exceptional Communication Skills/ Presentation Skills                         
• Good Aptitude skills is preferred                                       

Responsibilities:                                                                                         

• Ability to quickly learn any new technology and impart the same to other employees
• Ability to resolve all technical queries of students
• Conduct training sessions and drive the placement driven quality in the training
• Must be able to work independently without the supervision of a senior person
• Participate in reviews/ meetings                                                                                                          

Qualification:                                                                               

• UG: Any Graduate in IT/Computer Science, B.Tech/B.E. – IT/ Computers
• PG: MCA/MS/MSC – Computer Science
• Any Graduate/ Post graduate, provided they are certified in similar courses

ABOUT EDUBRIDGE

EduBridge is an Equal Opportunity employer and we believe in building a meritorious culture where everyone is recognized for their skills and contribution.

Launched in 2009 EduBridge Learning is a workforce development and skilling organization with 50+ training academies in 18 States pan India. The organization has been providing skilled manpower to corporates for over 10 years and is a leader in its space. We have trained over a lakh semi urban & economically underprivileged youth on relevant life skills and industry-specific skills and provided placements in over 500 companies. Our latest product E-ON is committed to complementing our training delivery with an Online training platform, enabling the students to learn anywhere and anytime.

To know more about EduBridge please visit: http://www.edubridgeindia.com/">http://www.edubridgeindia.com/

You can also visit us on https://www.facebook.com/Edubridgelearning/">Facebook , https://www.linkedin.com/company/edubridgelearning/">LinkedIn for our latest initiatives and products

• Create & Manage dashboards on various Mobile & web tools like Clevertap, Branch, Google Analytics, Zoho Page Sense, Firebase, and other data tools that marketing and product teams use on a daily basis.
• Create richer & holistic (collating multiple data sources/platforms) dashboards and reports on Tableau & Metabase for Product, Marketing & Business teams.
• Improve dashboards & set up alert systems on Sentry, Firebase, GA for product & technology teams to timely catch fatal crashes, errors.

Deliver data-backed insights & periodic analysis reports

• Perform deep data analysis to identify issues, trends, opportunities, and improvements possible in Acquisition, Activation, Transactions, Conversion Ratios & other driving product metrics. Present findings to product, marketing, and business stakeholders.
• Perform analysis to assess the success of ongoing product initiatives, provide insights to product managers & designers to iterate product features and flows.
• Create & Track product and marketing funnels to identify growth opportunities and problem areas. Collaborate with PMs and Designers to discover underlying reasons for drop points. Analyze Funnel, Cohort, Trends, LTV, DAU, MAU, Retention & user behavior using data & help teams make data-driven decisions.

Define measurement & success criteria for experiments, new features, and A/B tests.

• Collaborate with Product Manager to design, execute and analyze A/B tests, define target KPIs & control segments.
• Help Product Managers define success criteria and measurement standards for new features and product offerings.
• Ensure technical setup is there to MONITOR important KPIs and collect custom events data. Define custom events & properties to be tracked on Clevertap, GA, Zoho Page Sense.

Drive increased engagement & retention using Clevertap

• Define AARRR KPIs and Optimize them with CT multi-channel journeys by continuously performing A/B tests.
• Create detailed and diverse user segments to identify high, medium & low activity cohorts. Create strategies to increase the size of high-activity cohorts.
• Analyze website & mobile traffic, create user journeys & campaigns to enable cross-channel product experience and marketing.

Manage, Mentor & lead Product Analytics

• Act as an Analytics Subject Matter Expert in the team. Train, hire, and manage a team of analysts. Setup collaborative processes & management practices to help teams achieve important analytics goals.
• Assist the Product stakeholders to make data-driven decisions to achieve short and long-term goals relating to product growth.
• Collaborate & hire analysts to improve the overall product analysis capabilities.
• Research and be updated with upcoming technologies and trends in digital product analytics.
  
  

Experience

• Bachelor’s Degree in Computer Science, Engineering or any other related field.
• 4+ years of experience in mobile/web application analytics, business analytics, must have led or managed a team before.

Technical Skills

• In-depth knowledge & hands-on experience of digital analytics software like Zoho Page Sense, Google Analytics, CleverTap, Branch, Firebase, Facebook Analytics.
• Expertise in dash-boarding tools like Tableau, Metabase, and Excel.
• Experience with data warehousing concepts and ETL development and tools
• Fetching and manipulating large data sets using SQL / Hive.
• Analyzing and visualizing large data sets: R / python.

Soft Skills

• Ability to prioritize and manage multiple milestones and projects efficiently.
• Team spirit, good time-management skills, strong communication skills to collaborate with various stakeholders.
• Detail-oriented, advanced problem-solving skills with customer-centric approach.

• Knowledge of various search engine optimization platforms, best practices, and website analytics.
• Up-to-date on the latest trends and technologies in SEO.
• Develop and mentor campaign budgets.*
• *Generate leads from Quality Clicks on Quality Websites.
• Work on SEO & other initiatives to increase domain reputation & rank.