Data scientist/ Software engineer

DATA ANALYST

About:

Role:

Requirements:

Location-MUMBAI

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

Company Profile :

Merilytics, an Accordion company is a fast-growing analytics firm offering advanced a and intelligent analytical solutions to clients globally. We combine domain expertise, advanced analytics, and technology to provide robust solutions for clients' business problems. You can find further details about the company at https://merilytics.com.

We partner with our clients in Private Equity, CPG, Retail, Healthcare, Media & Entertainment, Technology, Logistics industries etc. by providing analytical solutions to generate superior returns. We solve clients' business problems by analyzing large amount of data to help guide their Operations, Marketing, Pricing, Customer Strategies, and much more.

Position :

- Business Associate at Merilytics will be working on complex analytical projects and is the primary owner of the work streams involved.

- The Business Associates are expected to lead the team of Business Analysts to deliver robust analytical solutions consistently and mentor the Analysts for professional development.

Location : Hyderabad

Roles and Responsibilities :

The roles and responsibilities of a Business Associate will include the below:

- Proactively provide thought leadership to the team and have complete control on the delivery process of the project.

- Understand the client's point of view and translate it into sound judgment calls in ambiguous analytical situations.

- Highlight potential analytical issues upfront and resolve them independently.

- Synthesizes the analysis and derives insights independently.

- Identify the crux of the client problem and leverage it to draw relevant actionable insights from the analysis/work.

- Ability to manage multiple Analysts and provide customized guidance for individual development.

- Resonate with our five core values - Client First, Excellence, Integrity, Respect and Teamwork.

Pre-requisites and skillsets required to apply for this role :

- Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred.

- Should have 2-4 years of experience.

- Strong leadership & proactive communication to coordinate with the project team and other internal stakeholders.

- Ability to use business judgement and a structured approach towards solving complex problems.

- Experience in client-facing/professional services environment is a plus.

- Strong hard skills on analytics tools such as R, Python, SQL, and Excel is a plus.

Why Explore a Career at Merilytics :

- High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility.

- Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes.

- Entrepreneurial Environment: Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities.

- Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve.

Other benefits for full time employees:

(i) Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctor's consultations, counselors, etc.

(ii) Corporate Meal card options for ease of use and tax benefits.

(iii) Work dinners, team lunches, company sponsored team outings and celebrations.

(iv) Reimbursement support for travel to the office, as and when promulgated by the Company.

(v) Cab reimbursement for women employees beyond a certain time of the day.

(vi) Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests.

(vii) Reward and recognition platform to celebrate professional and personal milestones.

(viii) A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development.

Job Description:

We are looking for a Business Analyst with strong organizational and planning skills and a proven ability to multitask in a fast-paced environment. We are seeking a high level of motivation and a self-starting attitude, and the ability to work with minimal direction and supervision. The ideal candidate will have a metrics/data-driven analytical mindset of constantly measuring success and driving continuous improvement in tools, content, and programs.

Business Analyst Qualifications / Skills:

• Able to exercise independent judgment and take action on it.
• Excellent analytical, and creative problem-solving skills
• Excellent listening, interpersonal, written, and oral communication skills
• Logical and efficient, with keen attention to detail
• Highly self-motivated and directed.
• Ability to effectively prioritize and execute tasks while under pressure.
• Strong customer service orientation
• Experience working in a team-oriented, collaborative environment.
• BE, MBA Preferable.

Responsibilities:

• Data analysis 
• Business Insights 
• Leadership 
• Influence 
• Strategy 
• Problem structuring 
• Project management

• 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.

• 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.

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.

• 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.

Required Skills:

• Proven work experience as an Enterprise / Data / Analytics Architect - Data Platform in HANA XSA, XS, Data Intelligence and SDI
• Can work on new and existing architecture decision in HANA XSA, XS, Data Intelligence and SDI
• Well versed with data architecture principles, software / web application design, API design, UI / UX capabilities, XSA / Cloud foundry architecture
• In-depth understand of database structure (HANA in-memory) principles.
• In-depth understand of ETL solutions and data integration strategy.
• Excellent knowledge of Software and Application design, API, XSA, and microservices concepts

Roles & Responsibilities:

• Advise and ensure compliance of the defined Data Architecture principle.
• Identifies new technologies update and development tools including new release/upgrade/patch as required. 
• Analyzes technical risks and advises on risk mitigation strategy.
• Advise and ensures compliance to existing and development required data and reporting standard including naming convention.

The time window is ideally AEST (8 am till 5 pm) which means starting at 3:30 am IST. We understand it can be very early for an SME supporting from India. Hence, we can consider the candidates who can support from at least 7 am IST (earlier is possible).

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) 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.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• 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.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis