Job Posters - Roles to Fill

[Dataiku]

Thanks for joining the Community in order to connect with talented data science practitioners! We're excited to provide a space for you to post your latest data roles and help you share more about your ideal candidate. 

In order to receive relevant responses, please the following include the following information your post: 

• Company
• Location
• Job Title
• Job description
• Link to job posting

Note, we cannot guarantee or confirm candidate experience or suitability. Postings will be visible to the public and searchable via community and 3rd party engines. 

Please be sure to return once your position is filled and update the post with "Position has been filled" verbiage. 

If you have any questions, feel free to email us at community@dataiku.com 

[kathyqingyuxu]

Hello job seekers of the Dataiku Community!

My name is Kathy Xu and we are hiring a ML Engineer Manager here at Pfizer, details below:

• Company: Pfizer
• Location: India
• Job Title: Manager ML Engineer
• Link to job posting: https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/India---Remote/Manager--Machine-Learning-Engi...

ROLE RESPONSIBILITIES  

• Mining massive amounts of real-world healthcare, research, and business data to extract useful insights  

• Capturing and analyzing data from new and novel data sources  

• Provide best practices, guidance, and support to data science team: Data versioning, Model tracking, Experiment tracking and Code bundling for ease-of-deployment  

• Assist in creation and conversion of developed data/ML pipelines into scalable pipelines based on the infrastructure available (E.g., Convert Python based data science code into PySpark/SQL for scalable pushdown execution)  

• Develop continuous monitoring & training pipelines allowing model training in production by collaborating with data science team  

• Determine model performance monitoring metrics  

• Determine retraining trigger mechanism  

• Design champion/challenger model and A/B Testing  

• Develop CI/CD orchestration for the data science training pipeline  

• Manage the production deployments and post deployment model lifecycle management activities: Drift monitoring, Model retraining, and Model technical evaluation & business validation  

• Create parameterized data science pipeline for reuse across brands  

• Create modularized data science “widget” to be used across commercial analytics & analysis  

• SME for data science on matrix work teams  

• Able to work in ambiguous projects and deliver analytical framework  

• Develops project plan including timelines and milestones  

 Experience and Qualifications:  

• BS in Computer Science, Data Science, /or an Engineering/Quantitative field.  

• 5-8 years of experience in data and analytics field  

• Experience/projects involving real-world analytical problems using machine learning, statistical modeling, or similar quantitative approaches  

• Fluency in SQL or other programming languages (Python, Java, and/or C++)  

• Some development experience in at least one scripting language (PHP, Perl, Python, etc.)  

• Some understanding of MLOps principles and tech stack (e.g., MLFlow)  

• Some understanding of CI/CD integration and the data science development lifecycle  

• Strong communication skills (written & verbal)  

• Hands-on skills for data and machine learning pipeline orchestration via Dataiku (DSS 10 or 11) platform or similar platform 

• Project management experience  

• A passion and proven ability for problem-solving, comfort with ambiguity, and creativity  

• Ability to thrive in a dynamic and fast-paced environment and drive change, and collaborate effectively with a variety of individuals and organization  

PREFERRED QUALIFICATIONS 

• Pharma & Life Science commercial functional knowledge is a plus  

• Pharma & Life Science commercial data literacy is a plus  

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Best,

Kathy

[ben_p]

MandM Direct have vacancies in our data science team where you will get to work with some of the best modern data tools (including Dataiku) to solve a wide range of business challenges and deliver actionable insight in a fast paced online retail environment.

More details and applications at the link below:

• MandM Direct
• Herefordshire, UK (remote working available)
• Data Analyst
• Do you love working with data and finding insights that help drive the performance of a business? We are looking for a Data Analyst to join our Data Science Team. You’ll have the opportunity to work across a broad range of datasets covering customer, ecommerce, finance, merchandising and operations. We work with some of the best modern tools in business information and analytics, which you’ll use to explore data, build dashboards and share insights across departments.
• https://careers.mandmdirect.com/vacancies/251/data-analyst-data-science.html

[karan]

Hi  Job Seeker,

My name is Karan, and I am a recruiter. We recently came across your resume via our external database, and I feel that you may be a good fit for the Sr. Data Iku Engineer with Client Mphasis/Morgan Stanley located in Alpharetta GA / NJ. I am looking to fill this role on behalf of our client. I was hoping to arrange a 10 minute conversation to share with you more details about the job. Below is the job description for your consideration, If you are interested in this position, Kindly reply with your updated resume and also the best time and number to reach you. Or call me @ 916-829-8282.

Job Title: Sr. Data Iku Engineer

Duration: Long Term Contract

Location: Alpharetta GA / NJ

The right candidate would have a background in data engineering, data scientist/analyst for machine learning in Big Data ecosystem i.e., Hadoop, Spark, HBase, Hive / Impala or any similar distributed computing technology as well as public cloud platform & systems.

The candidate should be well versed in the Hadoop ecosystem, including the intricate details of Hadoop application design.

Additionally, experience with Hadoop/Spark (on[1]prem) and DataIKU or Databricks (cloud) for performance tunings which includes but not limited to data partitioning and indexing are requisites.  

Responsibilities include:

• Work closely with members of WM analytics and data sciences teams in the design, development and implementation of on-premises and cloud AI/ML systems, tools, services.
• Working with infrastructure and other Tech partners for the ongoing development, deployment and production support of the AI/ML solutions
• Work closely with members of WM Strats and Modeling team in the design, development and implementation of large statistical databases in DataIKU/Hadoop and DataBricks/Snowflake environments
• Work closely with members of WM Strats and Modeling team in the implementation of statistical and econometric models in Python/PySpark/R on the DataIKU and DataBricks platforms
• Work closely with members of WM Strats and Modeling team to facilitate processing large data in Hadoop and Snowflake environments using Spark/PySpark/RSpark
• Ensure data integrity through – data quality, validation, governance and transparency
• Production deployment and model monitoring to ensure stable performance and adherence to standards

Skills required:

• Experienced professional with 10-12 years of experience developing and implementing statistical models in Big Data ecosystem, i.e., Hadoop, Spark, HBase, Hive / Impala or any other similar distributed computing technology as well as public cloud platform & systems
• Proficiency with Python/R and basic libraries for statistical/econometric modeling such as Scikit-learn, Pandas
• Experienced in Hadoop, Snowflake, Spark, HDFS, Python, R, PySpark
• Proficiency with DataIku, DataBricks or similar AI/ML tools.
• Proficiency in data analysis using complex and optimized SQL and/or the above-mentioned technologies
• Understanding of data structures, data modeling and software architecture
• Good written and verbal communication skills Proficiency / Experience with the following a plus:
• In-depth understanding of Statistics and Mathematics
• Finance, Mortgages, Bank Deposit Products

Thanks & Regards,

Karan Bisht

10294A  Baltimore National Pike
Ellicott City MD 21042
Ph: 916-829-8282
www.Resourcesys.com
Like us: www.facebook.com/resourcesys
Tweet us: @resourcesys

[Manjit_singh121]

Role: MLOps Consultant (Data IKU)

Location: Jersey City, NJ / Alpharetta, GA (Day 1 onsite with Hybrid)

Duration: Contract Job / Full-time

Available candidate share profile at manjit.singh@nityo.com

Job Description:

The right candidate would have a background in data engineering, data scientist/analyst for machine learning in Big Data ecosystem i.e., Hadoop, Spark, HBase, Hive / Impala or any similar distributed computing technology as well as public cloud platform & systems.

The candidate should be well versed in the Hadoop ecosystem, including the intricate details of Hadoop application design.

Additionally, experience with Hadoop/Spark (on[1]prem) and DataIKU or Databricks (cloud) for performance tunings which includes but not limited to data partitioning and indexing are requisites.

Responsibilities include:

• Work closely with members of WM analytics and data sciences teams in the design, development and implementation of on-premises and cloud AI/ML systems, tools, services.
• Working with infrastructure and other Tech partners for the ongoing development, deployment and production support of the AI/ML solutions
• Work closely with members of WM Strats and Modeling team in the design, development and implementation of large statistical databases in DataIKU/Hadoop and DataBricks/Snowflake environments
• Work closely with members of WM Strats and Modeling team in the implementation of statistical and econometric models in Python/PySpark/R on the DataIKU and DataBricks platforms
• Work closely with members of WM Strats and Modeling team to facilitate processing large data in Hadoop and Snowflake environments using Spark/PySpark/RSpark
• Ensure data integrity through – data quality, validation, governance and transparency
• Production deployment and model monitoring to ensure stable performance and adherence to standards

Skills required:

• Experienced professional with 10-12 years of experience developing and implementing statistical models in Big Data ecosystem, i.e., Hadoop, Spark, HBase, Hive / Impala or any other similar distributed computing technology as well as public cloud platform & systems
• Proficiency with Python/R and basic libraries for statistical/econometric modeling such as Scikit-learn, Pandas
• Experienced in Hadoop, Snowflake, Spark, HDFS, Python, R, PySpark
• Proficiency with DataIku, DataBricks or similar AI/ML tools.
• Proficiency in data analysis using complex and optimized SQL and/or the above-mentioned technologies
• Understanding of data structures, data modeling and software architecture
• Good written and verbal communication skills Proficiency / Experience with the following a plus:
• In-depth understanding of Statistics and Mathematics
• Finance, Mortgages, Bank Deposit Products

Please provide me your updated resume.

[Manjit_singh121]

Available candidate share Resume an manjit.singh@nityo.com

[HeleneMignot]

Bonjour

Je recrute un Data Scientist 3-5 ans d'expérience qui maitrise Dataiku pour Louis Vuitton, cf la fiche de poste attachée.

Le poste est basé à Paris.

Vous pouvez m'envoyer votre candidature à helene.mignot@wildwildsearch.com

Merci !

[AlexandreS]

Hi to all the community!

CEVA Logistics is looking for a Senior Data Scientist.

Prefer Experience from the logistics or freight industry. 

The role can be based in any major city in Europe but will be traveling 20-25%, mostly to our Global HQ in Marseille, FR.

[arjun]

Hi Anyone interested in this job posting let me know

https://www.linkedin.com/feed/update/urn:li:activity:6954759641679425538/

[nirr3]

M1 Finance - a FinTech Unicorn is hiring for multiple roles in 2022!

Who we are:

M1 Finance has created a personal wealth-building platform made for the modern era, uniting personal perspective and automated ease. We seamlessly combine free investing, low cost borrowing and digital checking all in one intuitive, automated Finance Super App, and we’re driven by a mission to empower personal financial well-being.

We’re looking for passionate people who want to improve and build on what we’ve created and take responsibility to help others build something meaningful and sustainable for their futures.

Location: Chicago,  Salt Lake City or Remote

Job Postings:

Data Analyst - Product Analytics

Data Quality Analyst

Data Analyst - Business Analytics

Sr. Data Analyst - Marketing Science

[pzecevic]

Sounds interesting

[paigens]

Aimpoint Digital is looking to add a Principal level Data Scientist with Dataiku experience to our DS practice.  We're a fully remote workplace with a fun and collaborative atmosphere.  Come join our team! 

[CarolinaO]

BCD Travel is looking for two “Data Scientists” (home) based in the US, Europe or India, with experience in Dataiku: https://recruiting.adp.com/srccar/public/nghome.guid?c=1203101&d=External&prc=RMPOD4&r=5000793935306...

[Sjerath]

Looking for a Data Scientist with DataIku experience for a Contract to Hire role in NYC.

The right candidate would have a background in data engineering and requisite familiarity and experience working with statistical modeling. The candidate should be well versed in the Hadoop ecosystem and all the intricate details of Hadoop application design. Additionally, experience with Hadoop/Spark performance tunings which includes but not limited to data partitioning and indexing is requisite.

Responsibilities include:

• Work closely with members of WM Strats and Modeling team in the design, development and implementation of large statistical databases in DataIku/Hadoop environment
• Work closely with members of WM Strats and Modeling team in the implementation of statistical and econometric models in Python/PySpark/R on the DataIku platform
• Work closely with members of WM Strats and Modeling team to facilitate processing large data in Hadoop environment using Spark/PySpark/RSpark
• Ensure data integrity through – data quality, validation, governance and transparency
• Production deployment and model monitoring to ensure stable performance and adherence to standards

Skills required:

• Experienced professional with 10-12 years of experience developing and implementing statistical models in Big Data ecosystem, i.e., Hadoop, Spark, HBase, Hive / Impala or any other similar distributed computing technology
• Proficiency with Python/R and basic libraries for statistical/econometric modeling such as scikit-learn, pandas
• Experienced in Hadoop, Spark, HDFS, Python, R, PySpark and other leading technologies
• Proficiency with DataIku 
• Proficiency in data analysis using complex and optimized SQL and / or above-mentioned technologies
• Understanding of data architecture, structures, data modeling and database design and performance management
• Good written and verbal communication skills
• In-depth understanding of Statistics
• Finance, Mortgages, Bank Deposit Products (lending a plus) 

Please contact Shalini at sjerath@joineei.com if you have the skills required and would be interested in such an opportunity.

[FeliGE]

At Cornershop by Uber we are looking for our next Senior Analytics Specialist. The role focuses on delivering actionable analysis and insights to key decision-makers in the Marketing area and across the company. You will have the opportunity to design and implement models and tools to drive more efficient and scalable marketing actions as well as have a direct impact on marketing strategy through your analytics capabilities.

The position is remote (role is open to CL, CA, MX and BR) 

Go to https://jobs.lever.co/cornershopapp/11038835-a42e-494d-ab40-fdae6293d4bf and apply today!

[TheTonyOlson]

Hi All,

Excelion Partners, Dataiku's 2020 Emerging SI Partner of the Year, is looking for a Sr. Data Consultant to join our Excelion team. We're based out of Wisconsin, but this position is part of our remote team (US only). Full job description is attached to this posting. You must have Dataiku experience, experience analyzing data, and be able to manage a data analysis project with multiple personas.

If you have a desire to grow your career in data and enjoy being involved with innovative analytics solutions across a variety of challenging projects and industries, this may be just the position for you. 

The opportunities for growth in this role are great. You will be able to utilize your analysis capabilities and be client facing. Want to stretch your data science muscles? We believe in empowering our employees.

Interested? Please contact me via LinkedIn or email (tolson@excelion.io).

Thank you!

Tony Olson
- Director of Data Science Strategy at Excelion Partners

[nirr3]

M1 Finance, one of Chicago's fastest growing startups is hiring!

M1 is a personal finance platform that helps people manage and grow their money. Users can use it to invest, borrow and spend, all in one place. The platform combines customization and automation so that the user can set their strategy and let technology do the rest.

Sounds interesting?

We have several roles open across finance, data analytics and engineering:

Data Analyst

Data Scientist

Data Security Analyst 

Senior DevOps Engineer

Senior Financial Analyst

and many more

[josetoujours]

Hello, Is remote possible ?

Best regards

[AlexandreS]

CEVA Logistics is looking for a global pricing analyst, familiar with Dataiku 

https://www.linkedin.com/jobs/view/2559472591/?refId=HuC4%2BAFBR4iLSjVjHlIsKA%3D%3D

[Craig]

A UAE based government institution is looking for Data Scientists. The role is most likely in Abu Dhabi. Contact Amna Alali via email amnaali777@gmail.com or https://www.linkedin.com/in/amna-ali-ghanim-alali-932a0b88/

[VinceDS]

Singapore-based Bank is looking for a Dataiku DSS consultant based in Bangalore with the following skills:

No.	Skill	Typical Tasks they may undertake
1	SQL	Write SparkSQL (also, validate autogenerated SparkSQL code by DataIKU) Convert  Dremio SQL to Hive SQLs or Spark SQL in DataIKU – familiar with datatype conversions, etc. Be able to write Hive UDF (user defined functions) where necessitated
2	PySpark	Write custom PySpark Code (in DataIKU Jupyter Notebooks; Use Spark Dataset API) From (a) export such custom codes as New Visual Recipes to be re-used by rest of the team. Be able to define/optimize Spark Submit parameters for different jobs.
3	DataIKU	Guide Business Users to create optimal DataIKU recipe workflows (e.g. compute only incremental changes vs re-computing 2 years data; handle edge cases). Also, validate existing workflows and identify optimizations opportunities. Provide DataIKU workflow validation before a recipe is approved by Business Admin to be moved to Automation Node. Create standardized and re-usable production grade workflows (with pre and post condition checks - e.g., table availability in T1, holidays data load, re-try of failed jobs, etc; define prebuilt templates for Visual recipes and Notebooks) Optionally, great if they can write custom DataIKU plugins.
4	Troubleshooting and Optimizations	Provide first level of guidance on issues and troubleshooting. Identify bottlenecks and optimize Spark Jobs/Hive Tez Jobs.