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Selma Hadzic

Data Science Tech Lead

Can work in or around Berlin

  • 52.517
  • 13.3888
  • Rate On-demand
  • Experience 7+ years
  • Response rate 100%
  • Response time 1 hour
Propose a project The project will begin once you accept Selma's quote.

This freelancer will be available again on 14/11/2022

Until 14/11/2022

Propose a project The project will begin once you accept Selma's quote.

Location and workplace preferences

Location
Berlin, Germany
Can work onsite in your office in
  • around Berlin and 50km

Preferences

Business sector
  • Biotech
  • Civic & Social Organizations
  • Digital & IT
  • Culture
  • Education & E-learning
+9 autres

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Languages

  • French

    Native or bilingual

  • English

    Fluent

  • German

    Fluent

Categories

Skills (34)

Selma in a few words

Highly motivated data science tech lead with 8+ years of experience in data science in the Energy, Digital Marketing and Logistics industries; 4+ years of experience leading and scaling teams of international data scientists, analysts and machine learning engineers in fast-pace hyper growth environments; Proven track record of building data products in production and delivering business impact. I am passionate about leveraging people’s strengths as well as business insights and tech assets to solve problems.

Experience

Delivery Hero

Data Science Manager

Berlin, Allemagne

September 2020 - Today (1 year1 year and 11 months)

HelloFresh

Data Science Manager

June 2018 - August 2020 (2 years2 years and 2 months)

As a Data Science Manager, I have many responsibilities within the company: - leading a team of 4 data scientists/machine learning engineers/analysts, I am responsible of defining the vision and OKRs, planning the roadmap, collecting business needs, translating them into data products, delivering results in production and communicating with multiple stakeholders including CMO. Products include: reactivation, customer lifetime value, send out time optimization, customer segmentation, churn.

HelloFresh

Senior Data Scientist

Région de Berlin, Allemagne

January 2018 - June 2018 (5 months)

As a Senior Data Scientist, I am working hand by hand with the business teams to deliver insightful automated data products: I am able to frame any business question into a data science problem, align all stakeholders on the specifications and success criteria, design creative solutions and to scope projects from end to end. The models I have developed are currently used in production and generate value. I am also a technical mentor for more junior data scientists.

HelloFresh

Data Scientist

Région de Berlin, Allemagne

June 2017 - January 2018 (7 months)

As a data scientist at Hellofresh, I am participating in improving the services and optimising the business by building end-to-end machine learning models in production.

Arvato Services

Data scientist

Région de Paris, France

February 2015 - May 2017 (2 years2 years and 3 months)

As a data scientist at Arvato I closely work with the Marketing and Sales Account Teams to identify valuable use-cases to drive business benefit for the customers ; and with the IT and Data Management teams to adress the problem to solve with the right framework and technology.

Bluestone

Statistical Consultant

February 2014 - January 2015 (11 months)

Novo Nordisk : - have integrated and dealt with Gbytes of data to cluster and better describe the client's market EDF R&D: - have redressed samples from communicating meters by regression, marginal calibration and post-stratification with SAS - have set up different models to better estimate a client's electricity consumption - have carried out statistics studies to improve customer knowledge of French overseas Dpt

DCNS (Paris) and Heriot-Watt University (Edinburgh, Scotland)

Student Researcher

Edinburgh Scotland (3 months) and Paris (2 months)

April 2013 - September 2013 (5 months)

Have dealt with multi-object tracking theories in depth Have created and coded a multi-object tracker algorithm with Matlab Have analysed the performances of the filter and suggested some improvements in a thorough scientific approach

AREVA

2nd-year placement as part of the treasury I.T. maintenance team

Paris IX (4 months)

May 2012 - September 2012 (4 months)

Have handled the WallStreet System software Have developed a data-processing programme and contributed to a decision-making tool Have studied the impact of the set up on the valuation of financial instruments.

OFI Asset Management

First-year placement

Paris XVII (4 weeks)

January 2011 - February 2011 (1 month)

Have discovered the organization of a trading room - have used Reuters’ tool and carried out a survey on a new investment strategy.

Education