Data Researcher

Job Description:

We are currently seeking a talented and experienced SAP SF Data Migration Specialist to join our team and drive the successful migration of SAP S/4 from SAP ECC.

As the SAP SF Data Migration Specialist, you will play a crucial role in overseeing the design, development, and implementation of data solutions within our SAP SF environment. You will collaborate closely with cross-functional teams to ensure data integrity, accuracy, and usability to support business processes and decision-making. 

About the Company:

We are a dynamic and innovative company committed to delivering exceptional solutions that empower our clients to succeed. With our headquarters in the UK and a global footprint across the US, Noida, and Pune in India, we bring a decade of expertise to every endeavour, driving real results. We take a holistic approach to project delivery, providing end-to-end services that encompass everything from initial discovery and design to implementation, change management, and ongoing support. Our goal is to help clients leverage the full potential of the Salesforce platform to achieve their business objectives.

What Makes VE3 The Best For You We think of your family as our family, no matter the shape or size. We offer maternity leaves, PF Fund Contributions, 5 days working week along with a generous paid time off program that benefits balance your work & personal life.

Requirements

Responsibilities:

• Lead the design and implementation of data migration strategies and solutions within SAP SF environments.
• Develop and maintain data migration plans, ensuring alignment with project timelines and objectives.
• Collaborate with business stakeholders to gather and analyse data requirements, ensuring alignment with business needs and objectives.
• Design and implement data models, schemas, and architectures to support SAP data structures and functionalities.
• Lead data profiling and analysis activities to identify data quality issues, gaps, and opportunities for improvement.
• Define data transformation rules and processes to ensure data consistency, integrity, and compliance with business rules and regulations.
• Manage data cleansing, enrichment, and standardization efforts to improve data quality and usability.
• Coordinate with technical teams to implement data migration scripts, ETL processes, and data loading mechanisms.
• Develop and maintain data governance policies, standards, and procedures to ensure data integrity, security, and privacy.
• Lead data testing and validation activities to ensure accuracy and completeness of migrated data.
• Provide guidance and support to project teams, including training, mentoring, and knowledge sharing on SAP data best practices and methodologies.
• Stay current with SAP data management trends, technologies, and best practices, and recommend innovative solutions to enhance data capabilities and performance.

Requirements:

• Bachelor’s degree in computer science, Information Systems, or related field; master’s degree preferred.
• 10+ years of experience in SAP and Non-SAP data management, with a focus on data migration, data modelling, and data governance.
• Have demonstrable experience as an SAP Data Consultant, ideally working across SAP SuccessFactors and non-SAP systems
• Highly knowledgeable and experienced in managing HR data migration projects in SAP SuccessFactors environments
• Demonstrate knowledge of how data aspects need to be considered within overall SAP solution design
• Manage the workstream activities and plan, including stakeholder management, engagement with the business and the production of governance documentation.
• Proven track record of leading successful SAP data migration projects from conception to completion.
• Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively with cross-functional teams.
• Experience with SAP Activate methodologies preferred.
• SAP certifications in data management or related areas are a plus.
• Ability to work independently and thrive in a fast-paced, dynamic environment.
• Lead the data migration workstream, with a direct team of circa 5 resources in addition to other 3rd party and client resource.
• Work flexibly and remotely. Occasional UK travel will be required

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work in a dynamic and challenging environment on critical migration projects.
• Professional growth opportunities in a supportive and forward-thinking organization.
• Engagement with cutting-edge SAP technologies and methodologies in data migration.

Job Description

[Job Overview]:

● Perform role of MDG senior functional consultant SAP S/4 Hana ABAP skills will

also be good

● [Primary Skills]: SAP MDG domain in scope - Business Partner and Material

Expertise in any std master data domains like material, Business partner

Customer & supplier.

● Functional configuration of MDG like change request, BRF+ workflow

development, data model enhancements, MDGFPM config, etc Support domain

data replication process.

● Facilitate MDG data load and distribution. Understanding of the impact of the

enterprise on decisions made in MDG.

● Minimum 2 full lifecycle implementations in on Business partner Customer and

supplier and Material master domain.

● Hands-on experience in extending the data models, custom entities, and

attributes.

● Good to have knowledge of earlier versions of MDG and S/4 HANA Responsible

to interact with Business and to gather business requirements and accumulate

information.

● Good analytical skills, strong interpersonal and communication skills.

[Good to have Skills]:

JLPT N3 or N2 certified SAP S/4 Hana ABAP skills or debugging skills

[Responsibilities and Duties]:

● Actively engage with the client team by participating in the business process

discussions, understand the current processes, pain points and new

requirements to design an effective solution in S/4HANA.

● Lead the functional / technical consultants in ensuring successful delivery of the

SAP Solution and ensure deliverables for MDG are successfully handed over for

the closure of the project.

● Identify and escalate issues and risks within project structure as soon as

discovered and not just when the delivery is due

● Prepare Key user & End user training and workshop materials and conduct the

meetings Ensure documentation of all key project deliverables and execute

smooth transition plan to the Application maintenance team

● Support Effort Estimation, Solution Standardizing, conduct Training, Mentoring

and Coaching junior team members Strong client facing experience, Analytical

mind-set with a strong eagerness to learn and able to translate requirements into

designs and code / configuration

● Demonstrates excellent communication skills, both oral and written Open to work

in shifts and flexible to support during weekends / holidays in case of urgency

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.

• Proxy Incident Management
• DLP Incident Management
• Support to SOC Incidents
• Miscellaneous Security Activities (Management of documentation- Policies/Procedures/ Guidelines etc.)