Statistical Analysis Jobs
**The salary offered for this role is up to 38.5 LPA**
Successful SA technology group is looking to hire a full-time remote Senior Data Scientist with experience and ability in statistical modeling (price optimisation and price elasticity).
The Senior Data Scientist will actively lead the application of data science methods, which includes machine learning, deep learning, artificial intelligence and predictive analytics, required to meet the company’s business interests as well as that of their clients.
Requirements:
- Relevant degree in Data Science, Statistics or equivalent quantitative field
- Minimum 5+ years of experience
The ideal candidate would have knowledge in:
- Machine learning
- Google Cloud Platform (AI platform, BigQuery, Dataproc, Dataflow, Kubeflow, Vertex AI)
- Deep learning (Demand Forecasting, Recommendations Engine, Image Modelling and NLP etc.)
- Statistical modelling (Price Optimization, Price Elasticity etc.)
- Data Modelling
- Database management (MS SQL server, PostgresSQL or similar)
- Data visualisation (Data Studio, Tableau)
- Data Science
- Data Analysis
- Predictive analytics
- Python
They would have the following skills:
- Ability to program data using python, R;
- Ability to use deep learning tools like Tensorflow, Keras, Sklearn, Pytorch
- Ability to build predictive models and machine learning algorithms
- Ability to manage both structured and unstructured data using SQL;
- Ability to visualise data using various tools;
- Ability to model data for prediction
- Ability to work independently and propose solutions to business challenges
- Ability to automate data pipelines and machine learning models
- Ability to manage time and project deliverables
The main responsibilities of the role are:
- Providing support and leadership role to the other data scientist;
- Identifying and acting on new opportunities for data driven business in data science and analytics;
- Loading and merging data originating from diverse sources;
- Pre-processing and Transforming data for model building and analysis;
- Leading the development of predictive models for business solution;
- Performing descriptive analytics to discover trends and patterns in the data;
- Deploying predictive and other models to production
Dolat Capital is a multi-strategy trading firm, dedicated to producing superior returns by adhering to mathematical and statistical techniques. We trade actively in all Asset classes: equities, futures, options, commodities, currencies and fixed income taking advantage of our ultra-low latency infrastructure. Our low latency infrastructure is in C++, one of the most competitive in terms of latency.
The Quantitative Research team at Dolat Capital focuses on quantitative trading, specifically fully automated trading systems. We develop proprietary algorithms by using mathematical techniques and statistical analysis to identify patterns and behavior of markets.
The incumbent will be responsible to design, develop and implement computational algorithms/strategies that succeed in generating sizable profits consistently, in real life market for a high-frequency trading environment
We are a growing startup in the healthcare space, our business model has been mostly unexplored and that is exciting!
Our company decisions are heavily guided by insights we get from data. So this position is key and core to our business growth. You can make a real impact. We are looking for a data scientist who is passionate about contributing to the growth of MyYogaTeacher and propelling the company to newer heights.
We encourage you to spend some time browsing through content on our website myyogateacher.com and maybe even sign up for our service and try it out!
As a Data Scientist, you’ll
- Help collect data from a variety of sources
- Decipher and address quality of data, filter and cleanse data, identify missing data
- Help measure, transform and organize data into readily usable formats for reporting and further analysis
- Develop and implement analytical databases and data collection systems
- Analyze data in meaningful ways. Use statistical methods and data mining algorithms to analyze data and generate useful insights and reports
- Develop recommendation engines in a variety of areas
- Identify and recommend new ways to optimize and streamline data collection processes
- Collaborate with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance
We are looking for someone with
- Education in Mathematics, Statistics, Computer Engineering, Data Science, Data Analytics or Data Mining
- 3+ years experience in a data analyst role
- 3+ years of data mining and machine learning experience
- Great understanding of databases such as MySQL, and Amazon Redshift and are very adept at SQL
- Good knowledge of No SQL databases such as Mongo DB and ClickHouse
- Understanding of scripts such as XML, Javascript, JSON
- Knowledge of programming languages like SQL , Oracle, R, and MATLAB. Proficient in Python and Shell scripting
- Understanding of ETL framework and ETL tools
- Proficiency in statistical packages like Excel , SPSS, and SAS to be used for data set analyzing
- Knowledge of how to create and apply the most appropriate algorithms to datasets to find solutions
Would be nice if you also have
- Experience with data visualization tools such as Tableau, Business Objects, PowerBI or Qlik
- Adept at using data processing platforms like Hadoop and Apache Spark
- Experience handling unstructured data such as text, audio and video and extracting features from those
Here are couple of articles about us from our CEO Jitendra
Why we started MyYogaTeacher https://www.myyogateacher.com/articles/why-i-started-myyogateacher
Our mission and culture https://www.myyogateacher.com/articles/company-mission-culture
Look forward to hearing from you !
Job Brief
We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.
As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.
If you’re also familiar with Agile methodologies, we’d like to meet you.
What makes Bakerstreet Digital Special?
- We are not just an ambitious niche Digital Products company. We are an ambitious Digital Products Company with a soul.
- Fundamental to our mission of building world-class (we have won a webby award) global (26 global products live 0-1) digital products is
- an integrated, mission-driven team of consultants who are passionate about their competency.
RESPONSIBILITIES
- Work with development teams and product managers to ideate software solutions
- Design client-side and server-side architecture
- Build the front-end of applications through appealing visual design
- Develop and manage well-functioning databases and applications
- Write effective APIs
- Test software to ensure responsiveness and efficiency
- Troubleshoot, debug and upgrade software
- Create security and data protection settings
- Build features and applications with a mobile responsive design
- Write technical documentation
- Work with data scientists and analysts to improve software
REQUIREMENTS
- Proven experience as a Full Stack Developer or similar role
- Experience developing desktop and mobile applications
- Knowledge of multiple front-end languages and libraries (e.g. React Native, Flutter)
- Knowledge of numerous back-end languages (e.g. GraphQL)
- Familiarity with databases (e.g. Postgresql) and UI/UX design
- Excellent communication and teamwork skills
- Great attention to detail
- Organisational skills
- An analytical mind
- Degree in Computer Science, Statistics or a relevant field
Our Hiring Process:
- You Apply and answer a couple of quick questions [5 min]
- Recruiter interview [15 min]
- Skills assessment take-home challenge
- Technical interview [30 min]
- Hiring Manager Interview [30 min]
- Final Stage Onboarding call with HR [15 min]
- We make you an offer and proceed for BGV and reference check.
- Knowledge of JavaScript to automate workflows, build apps, and integrate third-party applications with G Suite
- Leveraging Google Apps Script as a rapid- application development platform using Docs, Sheets, Slides
- Expertise in extracting the data from offline/ online sources as may be needed
- Automate workflows by developing business applications that tie in multiple tools
- Responding to data-related queries and keeping track of these
- Analysing data to identify trends
- Producing reports and charts communicating trends within data to non-specialists
- 3+ years in Business Analytics or similar roles
- Proficient in programming with Google Appscript and G-suite features used by Gmail, Calendar, Google Drive/Docs/Sheets/Slides, Forms, Chat, Meet and Data Studio
- Knowledge of JavaScript frameworks, familiarity with databases (e. g. SQL
- Expert in Excel and knowledge of programming languages like SQL, R, Python
- Proficiency in statistics & statistical packages like Excel to be used for data set analyzing
- Strong mathematical skills to help collect, measure, organize and analyze data
- Problem-solving skills, Accuracy and attention to detail
Job brief
We are looking for a Data Scientist 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 programming, 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.
What we offer
- A highly visible role which offers you the opportunity to make your mark, create impact and grow rapidly.
- Opportunity to work directly with the product leadership team that is involved in a wide spectrum of company building activities.
- A challenging environment with a scope to perfect your craft and learn a few life lessons along the way.
- A good medical insurance plan and employee friendly policies.
What You Will Work On
- Research & Develop statistical learning models for Data Analysis
- Clean, prepare and optimize data at scale for ingestion and consumption
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models and analysis
- Anticipate, identify and solve issues concerning data management to improve data quality
- Design and implement product features in collaboration with business , Product and Technology stakeholders. Keep up to date with the latest technology trends .
Your Experience
- Great numerical and analytical skills
- Previous experience as a data scientist or in a similar role
- Technical expertise with data processing, database programming, data mining, and data analytics
- Good background in data mining and statistical analysis
- Able to understand various data structures and common methods in data transformation
- Excellent pattern recognition and prediction modeling skills
- Knowledge of programming languages such as Java/Python.
- Bachelor's or Master’s Degree in Computer Science or Related fields is a PLUS.
DATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience
Knowledge of database languages such as SQL, NoSQL, AWS services, linux or Python
- Knowledge in PowerBI
- Good to have knowledge in Kibana (visualization) and Kibana Development tools
- Analytical and problem-solving skills
- Proficiency in Microsoft Excel
- Data visualization (simple aggregation-based charts to complex geo-based visualizations)
- Accuracy and excellent attention to detail
- Strong written/verbal communication skills
Qualifications and Experience
- 3+ years’ experience in Data Analysis or relevant working experience
Job Description:
Role Summary:
The Robotics Process Automation Business Analyst helps define the business case for the proposed automation of the business processes by reviewing the current process, identifying the automation potential of the process, and the potential FTE takeout. The process architect working with the customer subject matter experts, and the technical architect designs the steps in the process that can be automated (with or without reengineering), and which serves as a basis for the development team to implement the robotics.
The business analyst will also review the design at the design stage, validates the developed automation to ensure it meets the intended design and the business benefits.
B1 – Data Scientist - Kofax Accredited Developers
Total Experience – 7-10 Years
Mandatory –
- Accreditation of Kofax KTA / KTM
- Experience in Kofax Total Agility Development – 2-3 years minimum
- Ability to develop and translate functional requirements to design
- Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
- Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
- Application development using Kofax and KTM modules
- Good/Advance understanding of Machine Learning /NLP/ Statistics
- Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
- Excellent communication skills and collaborative attitude
- Work with multiple teams and stakeholders , like Analytics, RPA, Technology and Project management teams
- Good understanding of compliance, data governance and risk control processes
Good to have
- Previous experience of working on Agile & Hybrid delivery environment
- Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services
Qualification -
- Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA with 15+ years of full time education
We are looking for a Manager- Founder's office for a construction tech startup by a renowned business group (turnover INR 30 Billion) at Kolkata.
This role doesn’t have a set of defined job responsibilities. Role-holder must be a go-getter to help Founders with the key business ideas and issues.
Work closely with the founders and senior leadership team to build and grow organization.
Conduct market and industry research to iterate on product value propositions to develop the best possible solutions.
Plan and evaluate different GTM strategies.
Work effectively with cross-functional teams to assess and execute strategic partnerships.
Leverage data to perform analytics and draw actionable insights that help improve product and expand revenue streams.
Requirements
IIT / MBA from Tier-1 colleges.
0-2 years of experience
Should be from Kolkata or willing to relocate to Kolkata.
We want to speak to you if you are a creative, passionate, proactive, customer-centric, and data-driven person. Joining Highlevel is a unique opportunity to be part of a rapidly scaling team and have the chance to leave your mark on an exponentially scaling organization.
We’re looking for Compensation Advisor to help drive our compensation philosophy and programs to support our overall people strategies.
What You Will Be Doing:
- Support our Corporate functions with all elements of general compensation including job evaluation & classification within the Elastic job infrastructure
- Create and present comprehensive analysis to assess compensation issues in the business and provide market competitive and business aligned solutions using internal and external benchmark data sources
- Partner and provide thought leadership to HR Business Partners, Recruiting, and line management on the administration of all Elastic compensation programs and policies
- Assist in the planning and management of annual compensation processes and programs (e.g. Annual Compensation Cycle)
- Design and build compensation metrics, reports, and tools to inform compensation program decisions and forecast, report, and/or analyze compensation business outcomes
- Partner with other Global Compensation team members and broader HR team in the design, development and maintenance of various compensation policies and programs
- Evangelize Elastic’s Compensation and Total Rewards Strategy
- A real passion for fast-paced and dynamic environments, the ability to thrive in ambiguity and devote a diversified global view to all you do
- Experience with compensation design and administration
- A dedication to think big, use data to drive strategy, challenge convention, and potentially reinvent how work is done
- A proficiency in optimizing compensation processes and programs with a keen understanding of the balance between structure and flexibility
- The dexterity to balance critical, long term thinking about how we scale and optimize our rapidly growing employee base in tandem with the development and execution of global people strategies
- Bachelor's Degree and 5+ years of related experience; or 3 years with a Master’s degree
- 3+ years of experience in compensation analysis, financial analysis, statistical analysis, and/or data modeling is required
- Demonstrable mastery with Excel and Google suite
- Experience working with HR Business Partners or similar in a business facing role to solve compensation challenges.
- Experience working in a hyper-growth, global organization and exposure to compensation programs at scale
- Strategic, analytical, critical thinker who isn’t afraid to get into the details; real passion for problem solving
- Excellent written and verbal communication and presentation skills
- High degree of integrity and honesty; ability to exercise confidentiality and neutrality in complex and sensitive situations
- A sense of humor and ability to roll with the punches definitely a plus.
Additional Information - We Take Care Of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Double your charitable giving - We match up to $1500 (or local currency equivalent)
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Job Description
- Accreditation of Kofax KTA / KTM
- Experience in Kofax Total Agility Development – 2-3 years minimum
- Ability to develop and translate functional requirements to design
- Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
- Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
- Application development using Kofax and KTM modules
- Good/Advance understanding of Machine Learning /NLP/ Statistics
- Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
- Excellent communication skills and collaborative attitude
- Work with multiple teams and stakeholders,like Analytics, RPA, Technology and Project management teams
- Good understanding of compliance, data governance and risk control processes
Qualifications
- Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA with 15+ years of full time education
Additional information
- Previous experience of working on Agile & Hybrid delivery environment
- Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services
B1 – Data Scientist - Kofax Accredited Developers
Requirement – 3
Mandatory –
- Accreditation of Kofax KTA / KTM
- Experience in Kofax Total Agility Development – 2-3 years minimum
- Ability to develop and translate functional requirements to design
- Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
- Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
- Application development using Kofax and KTM modules
- Good/Advance understanding of Machine Learning /NLP/ Statistics
- Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
- Excellent communication skills and collaborative attitude
- Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
- Good understanding of compliance, data governance and risk control processes
Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry
Good to have
- Previous experience of working on Agile & Hybrid delivery environment
- Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services
Qualification -
- Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA
Glance – An InMobi Group Company:
Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!
Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).
What’s the Glance family like?
Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.
What can we promise?
We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.
What you will be doing?
Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners.
You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.
Basic Qualifications:
- Five+ years experience working in a Data Science role
- Extensive experience developing and deploying ML models in real world environments
- Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
- Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
- Experience in advanced math and statistics
- Excellent familiarity with command line linux environment
- Able to understand various data structures and common methods in data transformation
- Experience deploying machine learning models and measuring their impact
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Preferred Qualifications
- Experience developing recommendation systems
- Experience developing and deploying deep learning models
- Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
- Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
- Experience with being actively engaged in data science or other research-oriented position
- You would be comfortable collaborating with cross-functional teams.
- Active personal GitHub account.
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.
https://www.youtube.com/watch?v=3nUs4YxppNE&;feature=emb_rel_end
In this role, you’ll be applying your expertise to help us develop world-leading capabilities in the exciting and challenging domain of automated question answer generation.
To get a sense of the type of things that we do, view a post by us on medium:
https://digitalaristotleblog.medium.com/question-generation-ce673749c5a1
Required Skills
1. Solid understanding of Python
2. Strong Mathematics and Proficiency with statistics.
3. Deep knowledge of Computer Science fundamentals such as object-oriented design,
algorithm design, data structures, problem-solving, and complexity analysis
4. Knowledge of Linux shell commands.
5. Degree: Mathematics, Computer Science, Economics preferred
6. Independent projects. We look for candidates who have learned and worked on their own
projects / open source contributions (especially SymPy).
Following skills will be Plus factor
1. Any NoSQL database.
2. Cloud Deployment of applications.
3. a Basic understanding of NLP or ML frameworks.
What Can You Expect
● Opportunity to work on interesting and hard problems like automatic generation of
questions and step-by-step solutions of questions etc.
● Opportunity to work on important problems with big social impact: Massive, and direct
impact of the work you do on the lives of students.
● An intellectually invigorating, phenomenal work environment, with massive ownership
and growth opportunities.
Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India.
We are looking for experienced data enthusiasts who can make the data talk to them.
You will:
- Understand business problems and translate business requirements into technical requirements.
- Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
- Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
- Gather requirements and communicate findings in the form of a meaningful story with the stakeholders
- Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption.
- Lead and mentor data analysts.
We are looking for someone who has:
- Apart from your love for data and ability to code even while sleeping you would need the following.
- Minimum of 02 years of experience in designing and delivery of data science solutions.
- You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
- Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
- Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
- Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics
Skillset Required:
- Regression
- Classification
- Predictive Modelling
- Prescriptive Modelling
- Python
- R
- Descriptive Modelling
- Time Series
- Clustering
What is in it for you:
- Be a part of building the biggest brand in Data science.
- An opportunity to be a part of a young and energetic team with a strong pedigree.
- Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate.
Please Note:
At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight!
Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination.
All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions.
Job Description
This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.
Problems being solved by our client:
Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.
Duties and responsibilities:
- The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions.
- Develop, implement, and support statistical or machine learning methodologies and processes.
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies
- Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
- Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients
Qualifications:
- 3-5 years relevant work experience in areas as outlined below
- Experience in extracting data using SQL from large databases
- Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
- Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered.
- Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.
- Excellent verbal and written communication skills.
- Experience with TV or digital audience measurement or market research data is a plus.
- Familiarity with systems analysis or systems thinking is a plus.
- Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
- Excellent verbal, written and computer communication skills
- Ability to engage with Senior Leaders across all functional departments
- Ability to take on new responsibilities and adapt to changes
Ganit Inc. is the fastest growing Data Science & AI company in Chennai.
Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics.
We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite.
We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai.
Started with 3 people, the company is fast growing with 100+ employees
1. What do we expect from you
- Should posses minimum 2 years of experience of data analytics model development and deployment
- Skills relating to core Statistics & Mathematics.
- Huge interest in handling numbers
- Ability to understand all domains in businesses across various sectors
- Natural passion towards numbers, business, coding, visualisation
2. Necessary skill set:
- Proficient in R/Python, Advanced Excel, SQL
- Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions
- Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc.
- Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities)
- Should have handled large datasets and with through understanding of SQL
- Ability to handle a team of Data Analysts
3. Good to have skill set:
- Microsoft PowerBI / Tableau / Qlik View / Spotfire
4. Job Responsibilities:
- Translate business requirements into technical requirements
- Data extraction, preparation and transformation
- Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation
- Create and implement data models
- Interact with clients for queries and delivery adoption
5. Screening Methodology
- Problem Solving round (Telephonic Conversation)
- Technical discussion round (Telephonic Conversation)
- Final fitment discussion (Video Round
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, using data visualization techniques to tell a story with data.
- 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 passion for data, with a particular emphasis on data visualization.
Basic Qualifications
- A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on data analytics.
- 5+ Years professional experience, preferably in a data analyst / data scientist role or similar, with proven results in a data analyst role.
- 3+ Years professional experience in a leadership role guiding high-performing, data-focused teams with a track record of building and developing talent.
- Proficiency in your statistics / analytics / visualization tool of choice, but preferably in the Microsoft Azure Suite, including PowerBI and/or AzureML.
Role Summary
We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you.
Roles & Responsibilities
- Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results
- Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc.
- Facilitate review sessions with management, business users and other team members
- Design and create visualizations to present actionable insights related to data sets and business questions at hand
- Develop intelligent models around channel performance, user profiling, and personalization
Skills Required
- Having 4-6 yrs hands-on experience with Product related analytics and reporting
- Experience with building dashboards in Tableau or other data visualization tools such as D3
- Strong data, statistics, and analytical skills with a good grasp of SQL.
- Programming experience in Python is must
- Comfortable managing large data sets
- Good Excel/data management skills
