About the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
We are looking for a data scientist to join its growing team. This position will require you to think and act on the geospatial architecture and data needs (specifically geospatial data) of the company. This position is strategic and will also require you to collaborate closely with data engineers, data scientists, software developers and even colleagues from other business functions. Come save the planet with us!
Your Role
Manage: It goes without saying that you will be handling large amounts of image and location datasets. You will develop dataframes and automated pipelines of data from multiple sources. You are expected to know how to visualize them and use machine learning algorithms to be able to make predictions. You will be working across teams to get the job done.
Analyze: You will curate and analyze vast amounts of geospatial datasets like satellite imagery, elevation data, meteorological datasets, openstreetmaps, demographic data, socio-econometric data and topography to extract useful insights about the events happening on our planet.
Develop: You will be required to develop processes and tools to monitor and analyze data and its accuracy. You will develop innovative algorithms which will be useful in tracking global environmental problems like depleting water levels, illegal tree logging, and even tracking of oil-spills.
Demonstrate: A familiarity with working in geospatial libraries such as GDAL/Rasterio for reading/writing of data, and use of QGIS in making visualizations. This will also extend to using advanced statistical techniques and applying concepts like regression, properties of distribution, and conduct other statistical tests.
Produce: With all the hard work being put into data creation and management, it has to be used! You will be able to produce maps showing (but not limited to) spatial distribution of various kinds of data, including emission statistics and pollution hotspots. In addition, you will produce reports that contain maps, visualizations and other resources developed over the course of managing these datasets.
Requirements
These are must have skill-sets that we are looking for:
- Excellent coding skills in Python (including deep familiarity with NumPy, SciPy, pandas).
- Significant experience with git, GitHub, SQL, AWS (S3 and EC2).
- Worked on GIS and is familiar with geospatial libraries such as GDAL and rasterio to read/write the data, a GIS software such as QGIS for visualisation and query, and basic machine learning algorithms to make predictions.
- Demonstrable experience implementing efficient neural network models and deploying them in a production environment.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Capable of writing clear and lucid reports and demystifying data for the rest of us.
- Be curious and care about the planet!
- Minimum 2 years of demonstrable industry experience working with large and noisy datasets.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
About Blue Sky Analytics
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discussion
Be a team player who thrives in a fast-paced and constantly changing environment
We are searching for an accountable, multitalented data engineer to facilitate the operations of our data scientists. The data engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.
To ensure success as a data engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable data engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.
Responsibilities:
- Liaising with coworkers and clients to elucidate the requirements for each task.
- Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
- Reformulating existing frameworks to optimize their functioning.
- Testing such structures to ensure that they are fit for use.
- Preparing raw data for manipulation by data scientists.
- Detecting and correcting errors in your work.
- Ensuring that your work remains backed up and readily accessible to relevant coworkers.
- Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
Requirements:
- Bachelor's degree in data engineering, big data analytics, computer engineering, or related field.
- Master's degree in a relevant field is advantageous.
- Proven experience as a data engineer, software developer, or similar.
- Expert proficiency in Python, C++, Java, R, and SQL.
- Familiarity with Hadoop or suitable equivalent.
- Excellent analytical and problem-solving skills.
- A knack for independence and group work.
- Scrupulous approach to duties.
- Capacity to successfully manage a pipeline of duties with minimal supervision.
Overview
Data & Technology -This function is an Analytics, Technology, and consulting group supporting the buying & campaign delivery teams. We combine Adtech and Martech platform strategy with data science & data engineering expertise, helping our clients make advertising work better for people.
This role is a fantastic opportunity for personal and professional growth and to contribute to a high-performance team, focused on continuous learning, rigorous best practice and achieving high levels of customer service. The role requires a top-class candidate with excellent numeracy and proven analytics problem-solving skills to join our high energy, entrepreneurial team.
Reporting of the role
This role reports to the Analytics Director.
3 best things about the job:
- Be a member of a high performing team focused on technology, data, partners and platforms, a key strategic growth area for GroupM and WPP.
- Work in an environment that promotes freedom, flexibility, empowerment, and diverse working styles to solve real business problems.
- The opportunity to learn & collaborate with a wide range of stakeholders across all GroupM agencies & business units.
Measures of success –
In three months:
- Gain an in depth understanding of the media landscape, be trained on the various media buying platforms specifically, data & analytics databases and tools and understand how GMS business operates
- Lead and roll out various analytics and attribution frameworks and best practices for campaign measurement
- Develop proficiency in clean room analytics such as ADH, Infosum, Liveramp etc.
- Develop relationships and earn trust with your own team
In six months:
- Working with the campaign delivery teams to deliver high value, in-depth analytics, and attribution including client site analytics, channel analytics, automated where possible. Part of this will be to ensure that prior to the campaign all tracking and assets are in place as required by the briefing, then monitoring throughout the campaign that data is being collected.
- Help develop standard and where possible automated advanced clean room analytics solutions that can be scaled across all agencies.
- Perform active stakeholder management to continue to evolve these analytics solutions as per the priority requirements.
In twelve months:
- Work with the APAC GMS teams to ensure the local and regional data analytics solutions are aligned and local needs are strongly represented at the regional / global level
- Develop proficiency in measurement frameworks in a post cookie era, leading experiments for measuring campaign delivery, brand health and marketing effectives / ROI.
- Be an expert in data and lead bespoke insight analytics work as the demand and function continues to grow – i.e. answering complex business problems posed by our clients, providing thought leadership in defining measurement strategies, etc.
Responsibilities of the role:
- Provide digital campaign analytics – including campaign delivery, measurement, and attribution
- Client site analytics – e.g., Google Analytics, Adobe Analytics
- Client channel analytics – e.g., social listening, ecommerce – shopalyst, pre-post purchase analytics, pricing benchmarks
- Create omni(digital)-channel measurement strategies for performance reporting
- Deploy data-driven attribution models to support campaign optimisation
- Develop and roll out frameworks around various attribution models
- Create a leading analytics solution suite leveraging media / neutral data clean rooms
- Foster a community of data analytics practitioners for knowledge sharing and growing expertise
What you will need:
- Min 4 –5 years’ experience working within an analytical role
- Prior experience within a digital media role is highly desirable, particularly search, social and programmatic
- A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
- Proficiency in Excel (including but not limited to VLOOKUP’s, arrays, pivot tables, conditional and nested formulas, VBA/macros)
- Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
- Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau
- Knowledge or hands-on experience on analytics platforms like Google Analytics, Data Studio, Adobe Analytics, MMP such as Firebase, Appsflyer, Kochava etc.
- Evidence of technical comfort and good understanding of internet functionality desirable
- Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
- Proactive and results-oriented
- A positive, can-do attitude with a thirst to continually learn new things
- An ability to work independently and collaboratively with a wide range of teams
- Excellent communication skills, both written and oral
- An interest in media, advertising and marketing
More about GroupM
GroupM - GroupM leads and shapes media markets by delivering performance enhancing media products and services, powered by data and technology. Our global network agencies and businesses enable our people to work collaboratively across borders with the best in class, providing them the opportunity to accelerate their progress and development. We are not limited by teams or geographies; our scale and diverse range of clients lets us be more adventurous with our business and talent. We give our talent the space, support and tools to innovate and grow.
Discover more about GroupM at www.groupm.com
Follow @GroupMAPAC on Twitter
Follow GroupM on LinkedIn - https://www.linkedin.com/company/groupm
2020 brought opportunities for brands to innovate because of which we saw an evolving media stack. The growth of digital is set to soar high because of changing consumer habits. With approximately 500 million smartphone users, low-priced data plans, 45 to 50 million e-commerce shoppers, approximately 60 OTT offerings and a young population, India is a mobile-first internet market. It is also one of the top 10 ad spend markets in the world and is set to climb the ranks. Global big tech corporations have made considerable investments in top e-commerce/retail ventures and Indian start-ups, blurring the lines between social media, e-commerce and mobile payments, resulting in disruption on an unimaginable scale.
At GroupM India, there’s never a dull moment between juggling client requests, managing vendor partners and having fun with your team. We believe in tackling challenges head-on and getting things done.
GroupM is an equal opportunity employer. We view everyone as an individual and we understand that inclusion is more than just diversity – it’s about belonging. We celebrate the fact that everyone is unique and that’s what makes us so good at what we do. We pride ourselves on being a company that embraces difference and truly represents the global clients we work with.
Sr. Data Engineer
at Magic9 Media and Consumer Knowledge Pvt. Ltd.
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
a. 4+ years of experience in Azure development using PySpark (Databricks) and Synapse.
b. Real world project experience in using ADF to bring in data from on-premise applications into Azure using ADF pipelines.
c. Strong working experience on transforming data using PySpark on Databricks.
d. Experience with Synapse database and transformations within Synapse
e. Strong knowledge of SQL.
f. Experience in working with multiple kinds of source systems (e.g. HANA, Teradata, MS SQL Server, flat files, JSON, etc.)
g. Strong communication skills.
h. Experience in working on Agile
Data Science Software Engineer
at StatusNeo
Responsibilities Description:
Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.
Experience Requirements:
BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.
Required Technical Skill Set:
- Full cycle of building machine learning solutions,
o Understanding of wide range of algorithms and their corresponding problems to solve
o Data preparation and analysis
o Model training and validation
o Model application to the problem
- Experience using the full open source programming tools and utilities
- Experience in working in end-to-end data science project implementation.
- 2+ years of experience with development and deployment of Machine Learning applications
- 2+ years of experience with NLP approaches in a production setting
- Experience in building models using bagging and boosting algorithms
- Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
- Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
- Strong python skills following software engineering best practices
- Experience in using code versioning tools like GIT, bit bucket
- Experience in working in Agile projects
- Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
- Experience managing big data with efficient query program good to have
- Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
- Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
- Experience with Health care sector is preferred
- MS/M.Tech or PhD is a plus
MSBI Developer
MSBI Developer-
We have the following opening in our organization:
Years of Experience: Experience of 4-8 years.
Location- Mumbai ( Thane)/BKC/Andheri
Notice period: Max 15 days or Immediate
Educational Qualification: MCA/ME/Msc-IT/BE/B-Tech/BCA/BSC IT in Computer Science/B.Tech
Requirements:
- 3- 8 years of consulting or relevant work experience
- Should be good in SQL Server 2008 R2 and above.
- Should be excellent at SQL, SSRS & SSIS, SSAS,
- Data modeling, Fact & dimension design, work on a data warehouse or dw architecture design.
- Implementing new technology like power BI, power bi modeling.
- Knowledge of Azure or R-programming is an added advantage.
- Experiences in BI and Visualization Technology (Tableau, Power BI).
- Advanced T-SQL programming skill
- Can scope out a simple or semi-complex project based on business requirements and achievable benefits
- Evaluate, design, and implement enterprise IT-based business solutions, often working on-site to help customers deploy their solutions.
Quant/Data Scientist
We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has world class investors and big data experts as part of the GP, top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.
We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.
You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.
Requirements:
- Atleast 3 years of relevant ML experience
- Graduation date : 2018 and earlier
- 3-5 years of experience in high level Python programming.
- Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
- Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques.
- Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
- Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
- Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling.
- Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
- A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
- A valid Github profile with some activity in it
Bonus to have:
- Experience in storing and retrieving data from large and complex time series databases
- Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
- Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation.
- Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.)
- Knowledge of REST APIs and data extracting and cleaning techniques
- Good to have experience in Pyspark or any other big data programming/parallel computing
- Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
- Any progress towards CFA or FRM is a bonus
- Average tenure of atleast 1.5 years in a company
The Company
We are a young, fast-growing AI company shaking up how work gets done across the enterprise. Every day, we help clients identify opportunities for automation, and then use a variety of AI and advanced automation techniques to rapidly model manual work in the form of code. Our impact has already been felt across some of the most reputable Fortune 500 companies, who are consequently seeing major gains in efficiency, client satisfaction, and overall savings. It’s an exciting experience to watch companies transform themselves rapidly with Soroco!
Based across US, UK, and India, our team includes several PhDs and graduates from top-notch universities such as MIT, Harvard, Carnegie Mellon, Dartmouth, and top rankers/medalists from the IITs and NITs. The senior leadership includes a former founder of a VC/hedge fund, a computer scientist from Harvard, and a former founder of a successful digital media firm. Our team has collectively published more than 100 papers in international journals and conferences and been granted over 20 patents. Our board members include some of the most well-known entrepreneurs across the globe, and our early clients include some of the most innovative Fortune 100 companies.
The Role
As an individual contributor role, Business Analyst (BA) will work closely with Data Science Manager in India. BAs will be primarily responsible for analyzing improvement opportunities with business process, people productivity, application usage experience and other advanced analytics projects using Soroco scout platform collected data, for clients from diverse industry.
Responsibilities include (but are not limited to):
- Understanding project objectives and frame analytics approach to provide the solution.
- Take ownership in extracting, cleansing, structuring & analyzing data
- Analyze data using statistical or rule-based techniques to identify actionable insights.
- Prepare PowerPoint presentation/build visualization solutions for presenting the analysis & actionable insights to client.
- Brainstorm and perform root cause analysis to provide suggestions to improve scout platform.
- Work closely with product managers to build analytical features in the product.
- Manage multiple projects simultaneously, in a fast-paced setting
- Communicate effectively with client engagement, product, and engineering teams
The Candidate
An ideal BA should be passionate and entrepreneurial in nature, with a flexible attitude to learn anything and a willingness to provide the highest level of professional service.
- 2-4 years of analytics work experience with a University degree in Engineering, preferably from Tier-1 or Tier-2 colleges.
- Possess the skill to creatively solve analytical problems and propose solutions.
- Ability to perform data manipulation and data modeling with complex data using SQL/Python
- Knowledge of statistics and experience using statistical packages for analyzing datasets (R/Python)
- Proficiency in Microsoft Office Excel and PowerPoint.
- Impeccable attention to detail with excellent prioritization skills
- Effective verbal, written and interpersonal communication skills.
- Must be a team player and able to build strong working relationships with stakeholders
- Strong capabilities and experience with programming in Python (Numpy & Pandas)
Bonus Skills:
- Knowledge of machine learning techniques (clustering, classification, and sequencing, among others)
- Experience with visualization tools like Tableau, PowerBI, Qlik.
How You Will Grow:
Soroco believes in supporting you and your career. We will encourage you to grow by providing you with professional development opportunities across multiple business functions. Joining a young company will allow you to explore what is possible and have a high impact
Computers vision freshers
at OpexAI
