- Job Title - Data Science Core Developer
- Reports Into - Senior Data Science Core Developer
- Location - Hybrid / Leamington Spa
- Application Close Date - 31/05/2023
A Little Bit about Kwalee….
Kwalee is one of the world’s leading multiplatform game developers and publishers, with well over 900 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. We also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe.
What’s In It For You?
- Hybrid working - 3 days in the office, 2 days remote/ WFH is the norm
- Flexible working hours - we trust you to choose how and when you work best
- Profit sharing scheme - we win, you win
- Private medical cover - delivered through BUPA
- Life Assurance - for long term peace of mind
- On site gym - take care of yourself
- Relocation support - available
- Quarterly Team Building days - we’ve done Paintballing, Go Karting & even Robot Wars
- Pitch and make your own games on Creative Wednesdays!
Are You Up To The Challenge?
As a Data Science Core Developer in the Data Science Team, you will build tools and develop technology that deliver data products to a team of strategists, marketing experts and game developers. You will design, build, test and deploy products which serve a company fuelled by data.
Your Team Mates
The Data Science team is central in developing the technology behind the growth and monetisation of our games. We are a cross functional team that consists of analysts, engineers and data scientists, and work closely with the larger engineering team to deliver products spanning our modern, cloud first, tech stack.
What Does The Job Actually Involve?
As a Data Science Core Developer in the Data Science Team, you will build tools and develop technology that deliver data products to a team of strategists, marketing experts and game developers. You will design, build, test and deploy products which serve a company fueled by data.
- Develop the essential components of Kwalee data products. Including automated bidding software and our gameplay optimisation engine
- Work at the core of a talented and growing Data and Engineering department
- Unlock value by collaborating with marketing and development teams across the company
- Manipulate vast databases of player interaction and performance marketing data to power new products
Your Hard Skills
- A proven track record of writing high quality program code in Python
- Experience dealing with data pipelines and ETL processes
- Desire to learn new technology and solve hard problems
- Ability to work in a fast paced environment
- An avid interest in the development, marketing and monetisation of mobile games
Your Soft Skills
Kwalee has grown fast in recent years but we’re very much a family of colleagues. We welcome people of all genders, races and backgrounds - and all we ask is that you collaborate, work hard, ask questions and have fun with your team and colleagues. We don’t like egos or arrogance and we love playing games and celebrating success together.
If that sounds like you, then please apply.
A Little More About Kwalee
Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts.
Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle.
We have an amazing team of experts collaborating daily between our studios in Leamington Spa, Lisbon, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, Cyprus, the Philippines and many more places around the world. We’ve recently acquired our first external studio, TicTales, which is based in France.
We have a truly global team making games for a global audience, and it’s paying off: - Kwalee has been voted the Best Large Studio and Best Leadership Team at the TIGA Awards (Independent Game Developers’ Association) and our games have been downloaded in every country on earth - including Antarctica!
About Kwalee
Kwalee is one of the world’s leading multiplatform game developers and publishers, with well over 900 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. We also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe.
Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle.
We have an amazing team of experts collaborating daily between our studios in Leamington Spa, Lisbon, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, Cyprus, the Philippines and many more places around the world. We’ve recently acquired our first external studio, TicTales, which is based in France.
We have a truly global team making games for a global audience, and it’s paying off: - Kwalee has been voted the Best Large Studio and Best Leadership Team at the TIGA Awards (Independent Game Developers’ Association) and our games have been downloaded in every country on earth - including Antarctica!
We're a game developer and publisher, with most of our games on mobile and some on PC & Console too. We love making games and have had over 900 million worldwide downloads.
Similar jobs
About DeepIntent:
DeepIntent is a marketing technology company that helps healthcare brands strengthen communication with patients and healthcare professionals by enabling highly effective and performant digital advertising campaigns. Our healthcare technology platform, MarketMatch™, connects advertisers, data providers, and publishers to operate the first unified, programmatic marketplace for healthcare marketers. The platform’s built-in identity solution matches digital IDs with clinical, behavioural, and contextual data in real-time so marketers can qualify 1.6M+ verified HCPs and 225M+ patients to find their most clinically-relevant audiences and message them on a one-to-one basis in a privacy-compliant way. Healthcare marketers use MarketMatch to plan, activate, and measure digital campaigns in ways that best suit their business, from managed service engagements to technical integration or self-service solutions. DeepIntent was founded by Memorial Sloan Kettering alumni in 2016 and acquired by Propel Media, Inc. in 2017. We proudly serve major pharmaceutical and Fortune 500 companies out of our offices in New York, Bosnia and India.
What You’ll Do:
- Establish formal data practice for the organisation.
- Build & operate scalable and robust data architectures.
- Create pipelines for the self-service introduction and usage of new data
- Implement DataOps practices
- Design, Develop, and operate Data Pipelines which support Data scientists and machine learning
- Engineers.
- Build simple, highly reliable Data storage, ingestion, and transformation solutions which are easy
- to deploy and manage.
- Collaborate with various business stakeholders, software engineers, machine learning
- engineers, and analysts.
Who You Are:
- Experience in designing, developing and operating configurable Data pipelines serving high
- volume and velocity data.
- Experience working with public clouds like GCP/AWS.
- Good understanding of software engineering, DataOps, data architecture, Agile and
- DevOps methodologies.
- Experience building Data architectures that optimize performance and cost, whether the
- components are prepackaged or homegrown
- Proficient with SQL, Python or JVM-based language, Bash.
- Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow
- etc. and big data databases like BigQuery, Clickhouse, etc
- Good communication skills with the ability to collaborate with both technical and non-technical
- people.
- Ability to Think Big, take bets and innovate, Dive Deep, Bias for Action, Hire and Develop the Best, Learn and be Curious
● Able contribute to the gathering of functional requirements, developing technical
specifications, and project & test planning
● Demonstrating technical expertise, and solving challenging programming and design
problems
● Roughly 80% hands-on coding
● Generate technical documentation and PowerPoint presentations to communicate
architectural and design options, and educate development teams and business users
● Resolve defects/bugs during QA testing, pre-production, production, and post-release
patches
● Work cross-functionally with various bidgely teams including: product management,
QA/QE, various product lines, and/or business units to drive forward results
Requirements
● BS/MS in computer science or equivalent work experience
● 2-4 years’ experience designing and developing applications in Data Engineering
● Hands-on experience with Big data Eco Systems.
● Hadoop,Hdfs,Map Reduce,YARN,AWS Cloud, EMR, S3, Spark, Cassandra, Kafka,
Zookeeper
● Expertise with any of the following Object-Oriented Languages (OOD): Java/J2EE,Scala,
Python
● Strong leadership experience: Leading meetings, presenting if required
● Excellent communication skills: Demonstrated ability to explain complex technical
issues to both technical and non-technical audiences
● Expertise in the Software design/architecture process
● Expertise with unit testing & Test-Driven Development (TDD)
● Experience on Cloud or AWS is preferable
● Have a good understanding and ability to develop software, prototypes, or proofs of
concepts (POC's) for various Data Engineering requirements.
About Us
Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.
With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.
Job Brief
We are looking for a rockstar researcher at the Center of Excellence for Machine Learning. You are responsible for thinking outside the box, crafting new algorithms, developing end-to-end artificial intelligence-based solutions, and rightly selecting the most appropriate architecture for the system(s), such that it suits the business needs, and achieves the desired results under given constraints.
Credibility:
- You must have a proven track record in research and development with adequate publication/patenting and/or academic credentials in data science.
- You have the ability to directly connect business problems to research problems along with the latest emerging technologies.
Strategic Responsibility:
- To perform the following: understanding problem statements, connecting the dots between high-level business statements and deep technology algorithms, crafting new systems and methods in the space of structured data mining, natural language processing, computer vision, speech technologies, robotics or Internet of things etc.
- To be responsible for end-to-end production level coding with data science and machine learning algorithms, unit and integration testing, deployment, optimization and fine-tuning of models on cloud, desktop, mobile or edge etc.
- To learn in a continuous mode, upgrade and upskill along with publishing novel articles in journals and conference proceedings and/or filing patents, and be involved in evangelism activities and ecosystem development etc.
- To share knowledge, mentor colleagues, partners, and customers, take sessions on artificial intelligence topics both online or in-person, participate in workshops, conferences, seminars/webinars as a speaker, instructor, demonstrator or jury member etc.
- To design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance.
- To collaborate within the product streams and team to bring best practices and leverage world-class tech stack.
- To set up every essentials (tracking / alerting) to make sure the infrastructure / software built is working as expected.
- To search, collect and clean Data for analysis and setting up efficient storage and retrieval pipelines.
Personality:
- Requires excellent communication skills – written, verbal, and presentation.
- You should be a team player.
- You should be positive towards problem-solving and have a very structured thought process to solve problems.
- You should be agile enough to learn new technology if needed.
Qualifications:
- B Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering Colleges and Universities.
- 6+ years of strong software (application or infrastructure) development experience and software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
- Deep expertise and practical knowledge of operating systems, MySQL and NoSQL databases(Redis/couchbase/mongodb/ES or any graphDB).
- Good understanding of Machine Learning Algorithms, Linear Algebra and Statistics.
- Working knowledge of Amazon Web Services(AWS).
- Experience with Docker and Kubernetes will be a plus.
- Experience with Natural Language Processing, Recommendation Systems, or Search Engines.
Our Culture
As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.
Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.
To know more about us, feel free to go through these videos:
1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&t=6s
2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY
3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s
To view more videos, please access the below-mentioned link:
https://www.youtube.com/c/mindtickle/videos
Mindtickle is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.
● Create and maintain optimal data pipeline architecture.
● Assemble large, complex data sets that meet functional / non-functional
business requirements.
● Building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Maintain, organize & automate data processes for various use cases.
● Identifying trends, doing follow-up analysis, preparing visualizations.
● Creating daily, weekly and monthly reports of product KPIs.
● Create informative, actionable and repeatable reporting that highlights
relevant business trends and opportunities for improvement.
Required Skills And Experience:
● 2-5 years of work experience in data analytics- including analyzing large data sets.
● BTech in Mathematics/Computer Science
● Strong analytical, quantitative and data interpretation skills.
● Hands-on experience with Python, Apache Spark, Hadoop, NoSQL
databases(MongoDB preferred), Linux is a must.
● Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Experience with Google Cloud Data Analytics Products such as BigQuery, Dataflow, Dataproc etc. (or similar cloud-based platforms).
● Experience working within a Linux computing environment, and use of
command-line tools including knowledge of shell/Python scripting for
automating common tasks.
● Previous experience working at startups and/or in fast-paced environments.
● Previous experience as a data engineer or in a similar role.
- At least 4 to 7 years of relevant experience as Big Data Engineer
- Hands-on experience in Scala or Python
- Hands-on experience on major components in Hadoop Ecosystem like HDFS, Map Reduce, Hive, Impala.
- Strong programming experience in building applications/platform using Scala or Python.
- Experienced in implementing Spark RDD Transformations, actions to implement business analysis
We are specialized in productizing solutions of new technology.
Our vision is to build engineers with entrepreneurial and leadership mindsets who can create highly impactful products and solutions using technology to deliver immense value to our clients.
We strive to develop innovation and passion into everything we do, whether it is services or products, or solutions.
We have an urgent requirements of Big Data Developer profiles in our reputed MNC company.
Location: Pune/Bangalore/Hyderabad/Nagpur
Experience: 4-9yrs
Skills: Pyspark,AWS
or Spark,Scala,AWS
or Python Aws
Hiring For Data Engineer - Bangalore (Novel Tech Park)
Salary : Max upto 15LPA
Experience : 3-5years
- We are looking for an experienced (3-5 years) Data Engineers to join our team in Bangalore.
- Someone who can help client to build scalable, reliable, and secure Data analytic solutions.
Technologies you will get to work with:
1.Azure Data-bricks
2.Azure Data factory
3.Azure DevOps
4.Spark with Python & Scala and Airflow scheduling.
What You will Do: -
* Build large-scale batch and real-time data pipelines with data processing frameworks like spark, Scala on Azure platform.
* Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.
* Use best practices in continuous integration and delivery.
* Sharing technical knowledge with other members of the Data Engineering Team.
* Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
* You will get to work with massive data sets and learn to apply the latest big data technologies on a leading-edge platform.
Job Functions:
Information Technology Employment
Type - Full-time
Who can apply -Seniority Level / Mid / Entry level
Roles and Responsibilities
- Managing available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
- Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Defining validation framework and establish a process to ensure acceptable data quality criteria are met
- Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
- Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
- Device self-learning strategies through analysis of errors from the models
- Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.
- Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.
- Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.
Preferred Technical & Professional expertise
- Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
- At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning
- In-depth knowledge of cloud analytics tools.
- Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
- Ability to evaluate hardware selection for running ML models for optimal performance
- Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
- Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
- Deep analytical thinking with excellent problem-solving abilities
- Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
- Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders
- Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.
- Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards
Responsibilities for Data Scientist/ NLP Engineer
Work with customers to identify opportunities for leveraging their data to drive business
solutions.
• Develop custom data models and algorithms to apply to data sets.
• Basic data cleaning and annotation for any incoming raw data.
• 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.
• Deployment of ML model in production.
Qualifications for Junior Data Scientist/ NLP Engineer
• BS, MS in Computer Science, Engineering, or related discipline.
• 3+ Years of experience in Data Science/Machine Learning.
• Experience with programming language Python.
• Familiar with at least one database query language, such as SQL
• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,
Search Indexing & Fuzzy Matching.
• Excellent written and verbal communication skills for coordinating acrossteams.
• Willing to learn and master new technologies and techniques.
• Knowledge and experience in statistical and data mining techniques:
GLM/Regression, Random Forest, Boosting, Trees, text mining, NLP, etc.
• Experience with chatbots would be bonus but not required