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Machine Learning Jobs

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Hourly - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
We would like help in wiritng an R Contextual Analysis in Hebrew (utf-8) We are doing daily sms surveys, with open questions and recives daily a nice bunch of answers, whom we would like to make machine based analyised via Machine Lerning in R Att. a CSV file, with the colums: Survey_Number Rank_Satisfaction_CD (1-7) IF_Rank_Satisfaction_NOT_VALID_ANSWER (i.e charcter) Rank_Recommendation_CD (1-7) IF_Rank_Recommendation_NOT_VALID_ANSWER (i.e charcter) LAST_ANSWER_OPEN_Text_Notes (free open text answer)

Fixed-Price - Est. Budget: $ 1,000 Posted
We are looking for "Real" Data Scientist a) with experience working on complex customer experience problems (product recommendations, click through rate analysis, targeting, personalisation, customer segmentation, churn analysis, Customer loyalty etc.) b) on customer data (customer behaviour, demographics, geography, purchase, social media etc.) c) fulfilling marketing expectations (campaigning, branding, research etc.) d) applying machine learning models on Python/ Scala/ R e) visualising on data visualisation platforms. You should apply if and only if you meet ALL from (a) to (e) above. This is a long term position. Recommend friends.

Fixed-Price - Est. Budget: $ 1,000 Posted
We are looking for Apache Spark Developer. Experience: 6 months+ Projects : Atleast one on Spark Processing, Atleast one Spark Mllib Atleast one Spark SQL Language : Scala/ Python (No Java) Domain : Preferred Marketing, Retail Skills: Spark API usage across Scala (highly preferred)/ Python and SQL, as well as how to integrate streaming analytics, machine learning, and graph algorithms atop the Spark core (SQL, Streaming, MLlib, GraphX). Data Frame, ML Pipelines, and SparkR is a high plus, not mandatory. Please apply if and only if you have ACTUALLY worked on real world production environment projects for customers. Coding on MLlib is a MUST. Simply Use Case and/ or training knowledge doesn't suffice us. Guys from premier colleges (IIT or equivalent) and/ or Startup background preferred. NDA would be required.

Fixed-Price - Est. Budget: $ 500 Posted
We are receipt processing company that is looking for experienced data scientists to create fraud detection algorithm for us. Project stages include (1) brainstorming ideas and algorithms, (2) coding the solution and (3) deployment. As a result, we need ready to use API telling us whether check is real or fraud. We are considering to use Microsoft Azure Machine Learning platform.

Fixed-Price - Est. Budget: $ 2,000 Posted
Let's start with definition. "Harmonization is to create the possibility of combining data from more heterogeneous data sources, both internal and external, into an integrated, consistent, and interactive Data Story, in a way that is of no concern or struggle to the user. Collaborative decisions is the sharing of pertinent data and insights, in real-time, while keeping context, for fast, data-driven decisions." -- Clear Story Simpler words, Data Harmonization = Data Inferencing + Data Profiling + Data Enrichment Background --------------- We have 15 data sources (structured -columnar schema database). Each data source has some 40 fields. The data belongs to people & related professional attributes. Problem ----------- We want to create a single unified view of these 15 data sources, however, there is lot of data missing pertaining to one field in one source when we look for the same field in another source....

Hourly - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
I am a seasoned professional trader with close to 20 years of Wall St. experience. At one point I founded and ran a trading firm that grew to over 100 traders. I have recently formed a hedge fund with a small amount of seed money. Things have definitely changed. It is no longer necessary to have human traders. Instead, we are building a hedge fund of 2 or 3 people and a few computers. A "black box" fund. (I'm not talking HFT.) The fund is deploying strategies with desktop applications that interact via API with the brokerage platforms (in our case, Interactive Brokers). Trades are performed automatically and instantaneously based on our algorithms. As each strategy is deployed, it is tested in real time and scaled according to its success rate. We currently have 3 strategies up and running. The fund is set up and I can bring the money at the right time. My contacts in the business will allow me to scale fairly quickly, as long as we have the performance to excite. However, at this...

Fixed-Price - Est. Budget: $ 150 Posted
We have over 270K records of medical data with traits that can interconnect between them. The data is about drugs, diseases, symptoms, etc. The work is still in progress. We need a machine learning /data mining expert who can build a python script that can extract knowledge from the data set. If you have the expertise in this area, we would love to hear from you. Thanks